Regression

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.175383

R Square

0.030759

Adjusted R Square

-0.0904

Standard Error

3.628472

Observations

10

ANOVA

df

SS

MS

F

Significance F

Regression

1

3.342553

3.342553

0.253881

0.627935

Residual

8

105.3264

13.16581

Total

9

108.669

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

17.20206

2.452348

7.014526

0.000111

11.54693

22.85718

11.54693

22.85718

X Variable 1

-0.21413

0.424972

-0.50387

0.627935

-1.19412

0.765857

-1.19412

0.765857

Given the above information, answer the following questions:

What is the regression line equation?              ________________________

What is the p-value?                                                   ________________________

Would you accept or reject the null?                          ________________________

What does this mean?

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Regression Statistics

 

 

 

 

 

 

 

Multiple R

0.175383

 

 

 

 

 

 

 

R Square

0.030759

 

 

 

 

 

 

 

Adjusted R Square

-0.0904

 

 

 

 

 

 

 

Standard Error

3.628472

 

 

 

 

 

 

 

Observations

10

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

 

 

 

df

SS

MS

F

Significance F

 

 

 

Regression

1

3.342553

3.342553

0.253881

0.627935

 

 

 

Residual

8

105.3264

13.16581

 

 

 

 

 

Total

9

108.669

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

17.20206

2.452348

7.014526

0.000111

11.54693

22.85718

11.54693

22.85718

X Variable 1

-0.21413

0.424972

-0.50387

0.627935

-1.19412

0.765857

-1.19412

0.765857                  

 

"Get 15% discount on your first 3 orders with us"
Use the following coupon
"FIRST15"

Order Now