Regression Scatter

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status="ready" · linear least squares over 44 load-test runs — 95% confidence band, two runs flagged and named on the plot

p95 latency vs. concurrency

y = 1.84x + 62.3 · fitted on 44 of 44 observations

R²: 0.968
Slope: +1.84
Points: 44
Band: 95% confidence

ObservationOutlier · |σ| ≥ 2Least-squares fit95% confidence band

p95 latency vs. concurrency: 44 observations of p95 latency (ms) against Concurrent requests. linear least-squares fit y = 1.84x + 62.3, R² 0.968, 44 points fitted, 95% confidence band drawn. 2 flagged beyond 2 standard errors: Run 13, Run 34.
Observation	Concurrent requests	p95 latency (ms)	Fitted	Residual in standard errors	Flag
Run 01	11	93.4	82.5	+0.654	Within range
Run 02	16	98.1	91.7	+0.383	Within range
Run 03	21	82.2	101	-1.12	Within range
Run 04	25	118	108	+0.605	Within range
Run 05	28	94.6	114	-1.14	Within range
Run 06	33	107	123	-0.938	Within range
Run 07	35	130	127	+0.177	Within range
Run 08	40	150	136	+0.851	Within range
Run 09	44	152	143	+0.522	Within range
Run 10	47	144	149	-0.285	Within range
Run 11	53	145	160	-0.843	Within range
Run 12	57	157	167	-0.569	Within range
Run 13	59	246	171	+4.4	Outlier
Run 14	63	161	178	-0.989	Within range
Run 15	67	188	185	+0.153	Within range
Run 16	74	198	198	+0.0102	Within range
Run 17	75	197	200	-0.196	Within range
Run 18	82	202	213	-0.635	Within range
Run 19	84	234	217	+1.02	Within range
Run 20	87	213	222	-0.541	Within range
Run 21	93	223	233	-0.617	Within range
Run 22	94	227	235	-0.462	Within range
Run 23	101	259	248	+0.645	Within range
Run 24	106	246	257	-0.621	Within range
Run 25	108	272	261	+0.636	Within range
Run 26	113	279	270	+0.509	Within range
Run 27	117	270	277	-0.442	Within range
Run 28	120	279	283	-0.227	Within range
Run 29	125	285	292	-0.419	Within range
Run 30	128	285	297	-0.723	Within range
Run 31	134	300	308	-0.486	Within range
Run 32	136	302	312	-0.584	Within range
Run 33	141	329	321	+0.465	Within range
Run 34	146	288	330	-2.5	Outlier
Run 35	148	353	334	+1.13	Within range
Run 36	152	340	341	-0.11	Within range
Run 37	155	340	347	-0.417	Within range
Run 38	161	371	358	+0.758	Within range
Run 39	163	368	362	+0.358	Within range
Run 40	168	369	371	-0.133	Within range
Run 41	174	405	382	+1.38	Within range
Run 42	175	375	384	-0.495	Within range
Run 43	181	411	395	+0.947	Within range
Run 44	183	397	398	-0.0713	Within range

band="prediction" level={0.99} · same 44 runs — the ribbon now covers where a single new run should land, which is far wider than where the line is

p95 latency vs. concurrency

y = 1.84x + 62.3 · fitted on 44 of 44 observations

R²: 0.968
Slope: +1.84
Points: 44
Band: 99% prediction

ObservationOutlier · |σ| ≥ 2Least-squares fit99% prediction band

p95 latency vs. concurrency: 44 observations of p95 latency (ms) against Concurrent requests. linear least-squares fit y = 1.84x + 62.3, R² 0.968, 44 points fitted, 99% prediction band drawn. 2 flagged beyond 2 standard errors: Run 13, Run 34.
Observation	Concurrent requests	p95 latency (ms)	Fitted	Residual in standard errors	Flag
Run 01	11	93.4	82.5	+0.654	Within range
Run 02	16	98.1	91.7	+0.383	Within range
Run 03	21	82.2	101	-1.12	Within range
Run 04	25	118	108	+0.605	Within range
Run 05	28	94.6	114	-1.14	Within range
Run 06	33	107	123	-0.938	Within range
Run 07	35	130	127	+0.177	Within range
Run 08	40	150	136	+0.851	Within range
Run 09	44	152	143	+0.522	Within range
Run 10	47	144	149	-0.285	Within range
Run 11	53	145	160	-0.843	Within range
Run 12	57	157	167	-0.569	Within range
Run 13	59	246	171	+4.4	Outlier
Run 14	63	161	178	-0.989	Within range
Run 15	67	188	185	+0.153	Within range
Run 16	74	198	198	+0.0102	Within range
Run 17	75	197	200	-0.196	Within range
Run 18	82	202	213	-0.635	Within range
Run 19	84	234	217	+1.02	Within range
Run 20	87	213	222	-0.541	Within range
Run 21	93	223	233	-0.617	Within range
Run 22	94	227	235	-0.462	Within range
Run 23	101	259	248	+0.645	Within range
Run 24	106	246	257	-0.621	Within range
Run 25	108	272	261	+0.636	Within range
Run 26	113	279	270	+0.509	Within range
Run 27	117	270	277	-0.442	Within range
Run 28	120	279	283	-0.227	Within range
Run 29	125	285	292	-0.419	Within range
Run 30	128	285	297	-0.723	Within range
Run 31	134	300	308	-0.486	Within range
Run 32	136	302	312	-0.584	Within range
Run 33	141	329	321	+0.465	Within range
Run 34	146	288	330	-2.5	Outlier
Run 35	148	353	334	+1.13	Within range
Run 36	152	340	341	-0.11	Within range
Run 37	155	340	347	-0.417	Within range
Run 38	161	371	358	+0.758	Within range
Run 39	163	368	362	+0.358	Within range
Run 40	168	369	371	-0.133	Within range
Run 41	174	405	382	+1.38	Within range
Run 42	175	375	384	-0.495	Within range
Run 43	181	411	395	+0.947	Within range
Run 44	183	397	398	-0.0713	Within range

model="exponential" · least squares runs on ln y, so the R² tile names the scale it describes and the curve is drawn back in user units

Weekly active users since launch

y = 1,190·e^(0.0934x) · fitted on 26 of 26 observations

R² (on ln y): 0.994
Rate (ln y per x): +0.0934
Points: 26
Band: 95% confidence

ObservationOutlier · |σ| ≥ 2Least-squares fit95% confidence band

Weekly active users since launch: 26 observations of Weekly active users against Week. exponential least-squares fit y = 1,190·e^(0.0934x), R² 0.994, 26 points fitted, 95% confidence band drawn. 1 flagged beyond 2 standard errors: W4.
Observation	Week	Weekly active users	Fitted	Residual in standard errors	Flag
W1	1	1,240	1,310	-1.02	Within range
W2	2	1,410	1,440	-0.39	Within range
W3	3	1,570	1,580	-0.103	Within range
W4	4	2,020	1,730	+2.77	Outlier
W5	5	1,810	1,900	-0.867	Within range
W6	6	2,020	2,090	-0.59	Within range
W7	7	2,320	2,290	+0.162	Within range
W8	8	2,780	2,520	+1.73	Within range
W9	9	2,650	2,770	-0.736	Within range
W10	10	3,150	3,040	+0.651	Within range
W11	11	3,440	3,330	+0.535	Within range
W12	12	3,740	3,660	+0.396	Within range
W13	13	4,010	4,020	-0.0403	Within range
W14	14	4,490	4,410	+0.322	Within range
W15	15	4,590	4,840	-0.959	Within range
W16	16	4,910	5,320	-1.4	Within range
W17	17	5,540	5,840	-0.919	Within range
W18	18	6,210	6,410	-0.574	Within range
W19	19	7,270	7,040	+0.58	Within range
W20	20	7,610	7,730	-0.275	Within range
W21	21	7,930	8,480	-1.21	Within range
W22	22	8,800	9,310	-1.03	Within range
W23	23	9,970	10,200	-0.46	Within range
W24	24	12,100	11,200	+1.38	Within range
W25	25	12,800	12,300	+0.637	Within range
W26	26	14,700	13,500	+1.51	Within range

model="logarithmic" · a learning curve; the slope tile reads "per ln x" because that is what the coefficient means here

Time on task by repetition

y = -12.9·ln(x) + 93.5 · fitted on 32 of 32 observations

R²: 0.955
Slope per ln x: -12.9
Points: 32
Band: 95% confidence

ObservationOutlier · |σ| ≥ 2Least-squares fit95% confidence band

Time on task by repetition: 32 observations of Seconds to complete against Repetition. logarithmic least-squares fit y = -12.9·ln(x) + 93.5, R² 0.955, 32 points fitted, 95% confidence band drawn. 1 flagged beyond 2 standard errors: #4.
Observation	Repetition	Seconds to complete	Fitted	Residual in standard errors	Flag
#1	1	92	93.5	-0.76	Within range
#2	2	84	84.6	-0.267	Within range
#3	3	79.2	79.4	-0.0687	Within range
#4	4	82.2	75.6	+2.82	Outlier
#5	5	70.8	72.8	-0.838	Within range
#6	6	69	70.4	-0.598	Within range
#7	7	68.6	68.4	+0.0733	Within range
#8	8	70.6	66.7	+1.64	Within range
#9	9	63.3	65.2	-0.789	Within range
#10	10	65.1	63.8	+0.533	Within range
#11	11	63.6	62.6	+0.42	Within range
#12	12	62.2	61.5	+0.304	Within range
#13	13	60.1	60.4	-0.142	Within range
#14	14	60	59.5	+0.215	Within range
#15	15	56.2	58.6	-1	Within range
#16	16	54.5	57.8	-1.36	Within range
#17	17	54.8	57	-0.912	Within range
#18	18	54.8	56.2	-0.604	Within range
#19	19	56.8	55.5	+0.526	Within range
#20	20	54.2	54.9	-0.286	Within range
#21	21	51.5	54.3	-1.16	Within range
#22	22	51.3	53.7	-0.989	Within range
#23	23	52.1	53.1	-0.412	Within range
#24	24	55.8	52.5	+1.38	Within range
#25	25	53.5	52	+0.631	Within range
#26	26	55.1	51.5	+1.52	Within range
#27	27	47.7	51	-1.4	Within range
#28	28	50.4	50.5	-0.0603	Within range
#29	29	46.8	50.1	-1.39	Within range
#30	30	51.5	49.7	+0.784	Within range
#31	31	51.2	49.2	+0.838	Within range
#32	32	51.9	48.8	+1.31	Within range

outlierThreshold={1.5} · no real relationship — R² near zero, a nearly flat line and a band wide enough to admit it

No relationship to find

y = 0.186x + 71 · fitted on 30 of 30 observations

R²: 0.022
Slope: +0.186
Points: 30
Band: 95% confidence

ObservationOutlier · |σ| ≥ 1.5Least-squares fit95% confidence band

No relationship to find: 30 observations of Satisfaction score against Ticket age (days). linear least-squares fit y = 0.186x + 71, R² 0.022, 30 points fitted, 95% confidence band drawn. 3 flagged beyond 1.5 standard errors: T4, T18, T28.
Observation	Ticket age (days)	Satisfaction score	Fitted	Residual in standard errors	Flag
T1	0.5	57	71.1	-1.05	Within range
T2	1.9	70.2	71.4	-0.0851	Within range
T3	3.2	72.8	71.6	+0.0879	Within range
T4	4.4	92.9	71.8	+1.53	Outlier
T5	6.7	55.1	72.2	-1.24	Within range
T6	7.3	77.7	72.4	+0.384	Within range
T7	8.1	93.3	72.5	+1.49	Within range
T8	10	84.7	72.9	+0.844	Within range
T9	12	65.9	73.2	-0.521	Within range
T10	12.5	75.7	73.3	+0.168	Within range
T11	14.5	58.3	73.7	-1.09	Within range
T12	14.9	79.5	73.8	+0.404	Within range
T13	16.6	57.9	74.1	-1.14	Within range
T14	17.7	58.8	74.3	-1.09	Within range
T15	19.3	86.6	74.6	+0.845	Within range
T16	19.9	92.1	74.7	+1.22	Within range
T17	21.7	72.2	75	-0.2	Within range
T18	23.1	50.7	75.3	-1.74	Outlier
T19	24.9	93.7	75.6	+1.28	Within range
T20	25	55.6	75.7	-1.42	Within range
T21	26.7	80.5	76	+0.321	Within range
T22	27.3	66.2	76.1	-0.702	Within range
T23	28.7	84.7	76.3	+0.594	Within range
T24	30.6	80.9	76.7	+0.3	Within range
T25	32.2	92.8	77	+1.14	Within range
T26	34.2	76.9	77.4	-0.0344	Within range
T27	34.9	93.9	77.5	+1.19	Within range
T28	35.6	50.6	77.6	-1.97	Outlier
T29	36.6	91.3	77.8	+0.988	Within range
T30	39.6	71.6	78.4	-0.505	Within range

band="none" · the same runs with the ribbon switched off, when only the trend and R² are wanted

p95 latency vs. concurrency

y = 1.84x + 62.3 · fitted on 44 of 44 observations

R²: 0.968
Slope: +1.84
Points: 44
Band: off

ObservationOutlier · |σ| ≥ 2Least-squares fit

p95 latency vs. concurrency: 44 observations of p95 latency (ms) against Concurrent requests. linear least-squares fit y = 1.84x + 62.3, R² 0.968, 44 points fitted, no band drawn. 2 flagged beyond 2 standard errors: Run 13, Run 34.
Observation	Concurrent requests	p95 latency (ms)	Fitted	Residual in standard errors	Flag
Run 01	11	93.4	82.5	+0.654	Within range
Run 02	16	98.1	91.7	+0.383	Within range
Run 03	21	82.2	101	-1.12	Within range
Run 04	25	118	108	+0.605	Within range
Run 05	28	94.6	114	-1.14	Within range
Run 06	33	107	123	-0.938	Within range
Run 07	35	130	127	+0.177	Within range
Run 08	40	150	136	+0.851	Within range
Run 09	44	152	143	+0.522	Within range
Run 10	47	144	149	-0.285	Within range
Run 11	53	145	160	-0.843	Within range
Run 12	57	157	167	-0.569	Within range
Run 13	59	246	171	+4.4	Outlier
Run 14	63	161	178	-0.989	Within range
Run 15	67	188	185	+0.153	Within range
Run 16	74	198	198	+0.0102	Within range
Run 17	75	197	200	-0.196	Within range
Run 18	82	202	213	-0.635	Within range
Run 19	84	234	217	+1.02	Within range
Run 20	87	213	222	-0.541	Within range
Run 21	93	223	233	-0.617	Within range
Run 22	94	227	235	-0.462	Within range
Run 23	101	259	248	+0.645	Within range
Run 24	106	246	257	-0.621	Within range
Run 25	108	272	261	+0.636	Within range
Run 26	113	279	270	+0.509	Within range
Run 27	117	270	277	-0.442	Within range
Run 28	120	279	283	-0.227	Within range
Run 29	125	285	292	-0.419	Within range
Run 30	128	285	297	-0.723	Within range
Run 31	134	300	308	-0.486	Within range
Run 32	136	302	312	-0.584	Within range
Run 33	141	329	321	+0.465	Within range
Run 34	146	288	330	-2.5	Outlier
Run 35	148	353	334	+1.13	Within range
Run 36	152	340	341	-0.11	Within range
Run 37	155	340	347	-0.417	Within range
Run 38	161	371	358	+0.758	Within range
Run 39	163	368	362	+0.358	Within range
Run 40	168	369	371	-0.133	Within range
Run 41	174	405	382	+1.38	Within range
Run 42	175	375	384	-0.495	Within range
Run 43	181	411	395	+0.947	Within range
Run 44	183	397	398	-0.0713	Within range

status="loading" · skeleton keeps the stat row and the 300px plot box, so nothing shifts when the numbers land

p95 latency vs. concurrency

p95 latency (ms) against Concurrent requests · linear least squares

status="empty" · items=[]

p95 latency vs. concurrency

p95 latency (ms) against Concurrent requests · linear least squares

Nothing to fit yet

A trend line appears once observations carry both Concurrent requests and p95 latency (ms).

status="error" · onRetry provided — click Try again

p95 latency vs. concurrency

p95 latency (ms) against Concurrent requests · linear least squares

Couldn't load these observations

The data source didn't respond.

n = 2 — a line through two points is interpolation, not a fit; the card says so

Two observations

Throughput (rps) against Batch size · linear least squares

R²: —
Slope: —
Points: 2
Band: —

A least-squares fit needs at least 3 points and 2 were supplied. The points are plotted without a trend.

Observation

Two observations: 2 observations of Throughput (rps) against Batch size. No fit could be computed. No observation exceeds the outlier threshold. A least-squares fit needs at least 3 points and 2 were supplied. The points are plotted without a trend.
Observation	Batch size	Throughput (rps)	Fitted	Residual in standard errors	Flag
A	8	240	—	—	Within range
B	32	610	—	—	Within range

zero variance in x — the slope would be vertical, so no line is drawn

One predictor value, six responses

Error rate (%) against Replica count · linear least squares

R²: —
Slope: —
Points: 6
Band: —

Every fitted point shares one Replica count value, so the line would be vertical and the slope undefined. The points are plotted without a trend.

Observation

One predictor value, six responses: 6 observations of Error rate (%) against Replica count. No fit could be computed. No observation exceeds the outlier threshold. Every fitted point shares one Replica count value, so the line would be vertical and the slope undefined. The points are plotted without a trend.
Observation	Replica count	Error rate (%)	Fitted	Residual in standard errors	Flag
Probe 1	4	1.02	—	—	Within range
Probe 2	4	0.85	—	—	Within range
Probe 3	4	1.04	—	—	Within range
Probe 4	4	1.33	—	—	Within range
Probe 5	4	1.11	—	—	Within range
Probe 6	4	1.43	—	—	Within range

zero variance in y — the fit is flat and R² is undefined, not 0 and not 1

Response never moves

y = 0x + 3 · fitted on 7 of 7 observations

R²: —
Slope: 0
Points: 7
Band: 95% confidence

Retries never varies, so there is no variation for a fit to explain: R² is undefined and the band collapses onto the flat line.

ObservationLeast-squares fit95% confidence band

Response never moves: 7 observations of Retries against Payload (KB). linear least-squares fit y = 0x + 3, R² undefined, 7 points fitted, 95% confidence band drawn. No observation exceeds the outlier threshold. Retries never varies, so there is no variation for a fit to explain: R² is undefined and the band collapses onto the flat line.
Observation	Payload (KB)	Retries	Fitted	Flag
Call 1	4	3	3	Within range
Call 2	13	3	3	Within range
Call 3	22	3	3	Within range
Call 4	31	3	3	Within range
Call 5	40	3	3	Within range
Call 6	49	3	3	Within range
Call 7	58	3	3	Within range

a perfect fit — R² 1, zero residuals, a band with no width

Exactly on the line

y = 3x + 5 · fitted on 6 of 6 observations

R²: 1.000
Slope: +3
Points: 6
Band: 95% confidence

The fitted points are exactly collinear: R² is 1, every residual is zero and the band has no width.

ObservationLeast-squares fit95% confidence band

Exactly on the line: 6 observations of Cost against Units. linear least-squares fit y = 3x + 5, R² 1.000, 6 points fitted, 95% confidence band drawn. No observation exceeds the outlier threshold. The fitted points are exactly collinear: R² is 1, every residual is zero and the band has no width.
Observation	Units	Cost	Fitted	Flag
L1	0	5	5	Within range
L2	5	20	20	Within range
L3	10	35	35	Within range
L4	15	50	50	Within range
L5	20	65	65	Within range
L6	25	80	80	Within range

model="logarithmic" with x ≤ 0 — those points are plotted as crosses, not fitted

Log model, values it cannot take

y = 10.2·ln(x) + 32.3 · fitted on 5 of 7 observations

R²: 0.990
Slope per ln x: +10.2
Points: 5 of 7
Band: 95% confidence

2 observations fall outside this model's domain (x > 0): drawn as crosses and left out of the fit.

ObservationNot fittedLeast-squares fit95% confidence band

Log model, values it cannot take: 7 observations of Settle time (s) against Signed drift. logarithmic least-squares fit y = 10.2·ln(x) + 32.3, R² 0.990, 5 points fitted, 95% confidence band drawn. No observation exceeds the outlier threshold. 2 observations fall outside this model's domain (x > 0): drawn as crosses and left out of the fit.
Observation	Signed drift	Settle time (s)	Fitted	Residual in standard errors	Flag
−4	-4	21	—	—	Outside the model domain, not fitted
0	0	26	—	—	Outside the model domain, not fitted
1	1	31	32.3	-1.22	Within range
3	3	44	43.5	+0.342	Within range
8	8	55	53.5	+0.947	Within range
18	18	63	61.8	+0.823	Within range
40	40	68	69.9	-1.65	Within range

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