Regression Statistics Multiple R 0.1347 R Square 0.0181 Adjusted R Square -0.057
ID: 3435285 • Letter: R
Question
Regression Statistics
Multiple R
0.1347
R Square
0.0181
Adjusted R Square
-0.0574
Standard Error
3.384
Observations
15
ANOVA
df
SS
MS
F
Significance F
Regression
1
2.750
2.75
0.2402
0.6322
Residual
13
148.850
11.45
Total
14
151.600
Coefficients
Standard Error
t Stat
p-value
Intercept
8.6
2.2197
3.8744
0.0019
X
0.25
0.5101
0.4901
0.6322
none of the stated answers is correct
is 47.56
is 12.35
is 129.25
is 39.22
Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). If the variable X has the value 15 the predicted value of YRegression Statistics
Multiple R
0.1347
R Square
0.0181
Adjusted R Square
-0.0574
Standard Error
3.384
Observations
15
ANOVA
df
SS
MS
F
Significance F
Regression
1
2.750
2.75
0.2402
0.6322
Residual
13
148.850
11.45
Total
14
151.600
Coefficients
Standard Error
t Stat
p-value
Intercept
8.6
2.2197
3.8744
0.0019
X
0.25
0.5101
0.4901
0.6322
Answers:none of the stated answers is correct
is 47.56
is 12.35
is 129.25
is 39.22
Explanation / Answer
The regression line is
y = 8.6+0.25*x
So the variable X has the value 15,
y= 8.6+0.25*15 =12.35
Answer: is 12.35