Mind lap-Cer age.com/static/nb/uifindexhtml?nbld 5914688nbl QSearch Cristina Con
ID: 3362804 • Letter: M
Question
Mind lap-Cer age.com/static/nb/uifindexhtml?nbld 5914688nbl QSearch Cristina Conti at 1159 PM EST Check My Work The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.7 3.5 3.7 3.1 3.4 2.8 Monthly Salary($) 3,600 3,800 4,200 3,800 4,100 2,400 The estimated regression equation for these data is y- 30+1,150x and MSE-264,250. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). 3420 b. Develop a 95% confidence interval for the mean starting salary for all students with a 3.0 GPA (to 2 decimals). s2833.51 4017.60 3) c. Develop a 95% prediction rter al for Ryan Daley, a student with a GPA of 3.0 (to 2 decimals artially Correct Check My WorkExplanation / Answer
Result:
95% CI= (2755.66, 4084.34)
95% PI = (1845.72, 4994.28)
Regression Analysis
r²
0.500
n
6
r
0.707
k
1
Std. Error
514.053
Dep. Var.
salary
ANOVA table
Source
SS
df
MS
F
p-value
Regression
1,058,000.0000
1
1,058,000.0000
4.00
.1160
Residual
1,057,000.0000
4
264,250.0000
Total
2,115,000.0000
5
Regression output
confidence interval
variables
coefficients
std. error
t (df=4)
p-value
95% lower
95% upper
Intercept
-30.0000
1,851.0650
-0.016
.9878
-5,169.3804
5,109.3804
gpa
1,150.0000
574.7282
2.001
.1160
-445.7013
2,745.7013
Predicted values for: salary
95% Confidence Interval
95% Prediction Interval
gpa
Predicted
lower
upper
lower
upper
Leverage
3
3,420.000
2,755.657
4,084.343
1,845.718
4,994.282
0.217
Regression Analysis
r²
0.500
n
6
r
0.707
k
1
Std. Error
514.053
Dep. Var.
salary
ANOVA table
Source
SS
df
MS
F
p-value
Regression
1,058,000.0000
1
1,058,000.0000
4.00
.1160
Residual
1,057,000.0000
4
264,250.0000
Total
2,115,000.0000
5
Regression output
confidence interval
variables
coefficients
std. error
t (df=4)
p-value
95% lower
95% upper
Intercept
-30.0000
1,851.0650
-0.016
.9878
-5,169.3804
5,109.3804
gpa
1,150.0000
574.7282
2.001
.1160
-445.7013
2,745.7013
Predicted values for: salary
95% Confidence Interval
95% Prediction Interval
gpa
Predicted
lower
upper
lower
upper
Leverage
3
3,420.000
2,755.657
4,084.343
1,845.718
4,994.282
0.217