Sheet3
Sheet2
Sheet1
Sheet4
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
df
SS
MS
F
Significance F
Coefficients
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
X Variable 1
Salary: y
GPA: x
50000.00
3.20
56000.00
3.50
61000.00
3.80
58000.00
3.50
45000.00
2.80
68000.00
4.00
62000.00
3.70
60000.00
3.60
50000.00
3.50
55000.00
3.60
0.91
0.83
0.81
2949.89
10.00
1.00
346885245.90
346885245.90
39.86
2.29E-04
8.00
69614754.10
8701844.26
9.00
416500000.00
-9860.66
10551.82
-0.93
0.38
-34193.20
14471.89
-34193.20
14471.89
18852.46
2985.94
6.31
2.29E-04
11966.87
25738.05
11966.87
25738.05
Sheet3
Sheet2
Sheet1
Sheet4
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
df
SS
MS
F
Significance F
Coefficients
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
X Variable 1
Salary: y
GPA: x
50000.00
3.20
56000.00
3.50
61000.00
3.80
58000.00
3.50
45000.00
2.80
68000.00
4.00
62000.00
3.70
60000.00
3.60
50000.00
3.50
55000.00
3.60
0.91
0.83
0.81
2949.89
10.00
1.00
346885245.90
346885245.90
39.86
2.29E-04
8.00
69614754.10
8701844.26
9.00
416500000.00
-9860.66
10551.82
-0.93
0.38
-34193.20
14471.89
-34193.20
14471.89
18852.46
2985.94
6.31
2.29E-04
11966.87
25738.05
11966.87
25738.05
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