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
