lease help me to derive the REGRESSION EQUATION as the medical cost being the Y value and weight as the X value. I provided the excel file i just don't know where to get it
lease help me to derive the REGRESSION EQUATION as the medical cost being the Y value and weight as the X value. I provided the excel file i just don't know where to get it
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Please help me to derive the REGRESSION EQUATION as the medical cost being the Y value and weight as the X value. I provided the excel file i just don't know where to get it

Transcribed Image Text:Medical
amount spent
for alcohol
cost
weight
Age
2100
200
185
50
2378
250
200
42
1657
100
175
37
2584
200
225
54
2658
250
220
32
Which of the following factors has a significant
effect on medical expenses? Create the regression
equation for the problem.

Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R 0.948553
R Square 0.899753
Adjusted R 0.866337
Standard E 149.1055
Chart Area
Observatic
ANOVA
df
S
MS
ignificance F
Regressior
1 598629.8 598629.8 26.92594 0.013899
Residual
3 66697.38 22232.46
Total
4 665327.2
Coefficientsandard Erre
t Stat
P-value Lower 95%Upper 95%ower 95.0%pper 95.0%
Intercept -1320.89 696.2576 -1.89713 0.154068 -3536.69 894.9147 -3536.69 894.9147
Weight
17.89198 3.448045 5.189021 0.013899
6.91876
28.8652
6.91876
28.8652
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