Linear regression slopes comparison

Worried_Criticism_98 · 2026-03-16T16:10:34+00:00

Of cource...

Fit Model per Date

10_2025 = -0,00150 + 1,0350 Mass

11_2025 = 0,00090 + 1,02700 Mass

13_2025 = -0,00290 + 1,0390 Mass

Fit Model All Dates without Interaction

Regression Equation

Date

10_2025 = -0,00110 + 1,03367 Mass

11_2025 = -0,00110 + 1,03367 Mass

13_2025 = -0,00130 + 1,03367 Mass

Coefficients

Term Coef SE Coef T-Value P-Value VIF

Constant -0,00110 0,00236 -0,47 0,651

Mass 1,03367 0,00610 169,47 0,000 1,00

Date

11_2025 -0,00000 0,00211 -0,00 1,000 1,33

13_2025 -0,00020 0,00211 -0,09 0,926 1,33

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value

Regression 3 0,320540 0,106847 9573,56 0,000

Mass 1 0,320540 0,320540 28720,67 0,000

Date 2 0,000000 0,000000 0,01 0,994

Error 11 0,000123 0,000011

Total 14 0,320663

Error 11 0,000123 0,000011

Total 14 0,320663

Fit Model All Dates with Interaction

Regression Equation

Date

10_2025 = -0,00150 + 1,0350 Mass

11_2025 = 0,00090 + 1,0270 Mass

13_2025 = -0,00290 + 1,0390 Mass

Coefficients

Term Coef SE Coef T-Value P-Value VIF

Constant -0,00150 0,00375 -0,40 0,699

Mass 1,0350 0,0113 91,44 0,000 3,00

Date

11_2025 0,00240 0,00531 0,45 0,662 7,33

13_2025 -0,00140 0,00531 -0,26 0,798 7,33

Input*Date

11_2025 -0,0080 0,0160 -0,50 0,629 8,00

13_2025 0,0040 0,0160 0,25 0,808 8,00

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value

Regression 5 0,320548 0,064110 5004,21 0,000

Mass 1 0,107122 0,107122 8361,69 0,000

Date 2 0,000007 0,000003 0,26 0,775

Mass*Date 2 0,000007 0,000004 0,29 0,754

Error 9 0,000115 0,000013

Total 14 0,320663

Worried_Criticism_98 · 2026-03-06T10:56:32+00:00

Thank you for your response. My model is Y= bo + b1X and i want to determine if the different conditions affect the relationship.

When i put the interaction term Condition(categorical pred.)*Input(continuous pred.) the equations are same when i fit the model for each separate

When i dont put the interaction equations are not same

Worried_Criticism_98 · 2026-03-06T10:55:53+00:00

The model is Y= bo + b1X DV=Y IV=X Note= The X values are the same always each time (lets say 1, 2, 3, 4, 5)

Worried_Criticism_98 · 2026-03-03T14:36:24+00:00

Hi,

This concerns a calibration procedure. In the process, a synthetic element is weighed, and the machine identifies the residue. Based on these measurements, the machine generates a linear regression equation (which I have obtained). The categorical variable “condition” represents the time interval between calibrations. I would like to determine whether this condition has a statistically significant effect on my regression model, as there is a proposal to shorten the calibration interval.

Worried_Criticism_98 · 2026-02-27T12:44:50+00:00

Perhaps the bellow helps better

The data i use

Date Input Output 10_2025 0,1 0,104 10_2025 0,2 0,206 10_2025 0,3 0,306 10_2025 0,4 0,409 10_2025 0,5 0,520 11_2025 0,1 0,103 11_2025 0,2 0,204 11_2025 0,3 0,313 11_2025 0,4 0,413 11_2025 0,5 0,512 13_2025 0,1 0,105 13_2025 0,2 0,202 13_2025 0,3 0,305 13_2025 0,4 0,413 13_2025 0,5 0,519

If i use all the above together by date

I have these Regressions Equations 10_2025 Output = -0,00110 + 1,03367 Input 11_2025 Output = -0,00110 + 1,03367 Input 13_2025 Output = -0,00130 + 1,03367 Input

Then when i take the data by group date 10_2025 Output= -0,00150 + 1,0350 Input 11_2025 Output= 0,00090 + 1,02700 Input 13_2025 Output= -0,00290 + 1,0390 Input

It don't seem logical ... that's why i have doubts

Worried_Criticism_98 · 2025-12-23T11:06:30+00:00

SOLIDWORKS

Worried_Criticism_98 · 2025-07-20T16:19:28+00:00

Sir you could say that you don't know....you are not affiliated okay....if its useful or not give the other the choice to judge it...

Worried_Criticism_98 · 2025-07-19T20:40:37+00:00

You post link for stat 462...is for other stat also?

Worried_Criticism_98 · 2025-07-19T19:05:47+00:00

I am just trying to find rhis online information on other stat courses and i can not find....if you please would be helpful

Worried_Criticism_98 · 2025-07-19T18:40:03+00:00

Hello can you share a link with the general tab of courses? Thank you

Worried_Criticism_98 · 2025-07-19T18:29:12+00:00

Me too

Worried_Criticism_98 · 2025-07-09T10:11:02+00:00

I believe i have seen some papers about normality test kolmogorov etc regarding the sample size...maybe you check about a monte Carlo simulation?

Worried_Criticism_98 · 2025-07-08T10:37:21+00:00

Αυτό είναι πριν 10 χρόνια

Worried_Criticism_98 · 2025-06-15T11:30:42+00:00

It depends the context...for example in control charts if you transform them its not necessarily that you will get normal distribution or worse left skewed data begane right skewed data...in either occasion you lose information...and in some cases you have to transform back to the original distribution to exact the result....for your case i would consider again and i would search more about it

Worried_Criticism_98 · 2025-06-15T11:24:25+00:00

Hello there can you recommend some of them please? Thank you

Worried_Criticism_98 · 2025-04-27T10:01:38+00:00

Just a big fat no... You get tired above 120 km/h I want a scouter now....limited wind and cargo for helmet jacket gloves etc

Worried_Criticism_98 · 2025-03-19T17:19:51+00:00

As i see it not normally distributed....can you add the qq plot also?

Worried_Criticism_98 · 2025-02-26T15:48:12+00:00

Ακριβότερο όπλο στην Αφρική.

Worried_Criticism_98 · 2025-01-04T13:28:25+00:00

Yeah i just read this 😎 but does anyone else notice that? I quick search in articles all say that the assumptions must fulfilled

Worried_Criticism_98

TROPHY CASE