Consider the following output from a regression analysis Multiple R 0.98223752 R
ID: 3367733 • Letter: C
Question
Consider the following output from a regression analysis
Multiple R
0.98223752
R Square
0.96479055
Adjusted R Square
0.95518798
Standard Error
0.23310465
Observations
15
df
SS
MS
F
Significance F
Regression
3
16.37828444
5.459428
100.4721
2.82244E-08
Residual
11
0.597715562
0.054338
Total
14
16.976
Coefficients
Standard Error
t Stat
P-value
Intercept
3.98076893
1.573044228
2.530615
0.027943
X1
0.07321648
0.020889718
3.504905
0.004928
X2
-0.0323216
0.020895785
-1.5468
0.150182
X3
-0.0038861
0.003833348
-1.01376
0.332478
The “slopes” of the variables are: (3 "slope" values should be determined)
Multiple R
0.98223752
R Square
0.96479055
Adjusted R Square
0.95518798
Standard Error
0.23310465
Observations
15
df
SS
MS
F
Significance F
Regression
3
16.37828444
5.459428
100.4721
2.82244E-08
Residual
11
0.597715562
0.054338
Total
14
16.976
Coefficients
Standard Error
t Stat
P-value
Intercept
3.98076893
1.573044228
2.530615
0.027943
X1
0.07321648
0.020889718
3.504905
0.004928
X2
-0.0323216
0.020895785
-1.5468
0.150182
X3
-0.0038861
0.003833348
-1.01376
0.332478
Explanation / Answer
here from given output slopes for 3 variables are as follows:
slope(x1) =0.07321648
slope(x2) =-0.0323216
slope(x3)=-0.0038861
( please revert if there are other sub-parts of this)