Question

In: Math

Please try to type your solution for this question, so I can read it without a...

Please try to type your solution for this question, so I can read it without a problem. I truly appreciate you for typing in advance.

The Question:

For some Mechanical Engineer students, data for 224 student’s GPAs in their first 4 semesters of college were compared using several predictors, namely HSM, HSS, HSE, SATM, and SATV. Here significant level α is 0.05.

Then, the researcher fit a regression model and got the following results (intercept is included in the model):

ANOVA Table

Source

DF

Sum of Squares

Mean Squares

F ratio

Model(Reg)

(A)

(D)

(E)

(F)

Error(Residual)

(B)

105.65

0.4846433

Prob>F

Total

(C)

135.46

<0.001

             

Parameter Estimates Table

Term

Estimate

Std Error

t Ratio

Prob>|t|

Intercept

0.2187920884

0.40332538

0.54

0.5880

HSM

0.1464842907

0.03900487

(G)

0.0002

HSS

0.0274662163

0.03728366

0.74

0.4621

HSE

0.0770581216

0.03929423

1.96

0.0511

SATM

0.0009273573

0.00067983

1.36

0.1739

SATV

­.0004012914

0.00058484

-0.69

0.4933

  1. What are the values for (A), (B), (C), (D), (E), (F) and (G)?
  1. State the multiple regression model for this problem.
  1. What % of the variation in GPA are we explaining by the multiple regression?
  1. Specify the prediction equation (Include all the regressors)
  1. Determine if this is a significant model, i.e. check ANOVA table. (If significant, then p-value < α.) Here significant level α is 0.05.
  1. Determine if each predictor variable is significant to the model, give the reason, based on the JMP output (i.e. compare the test statistics or p-value)

Solutions

Expert Solution

a.

Source

DF

Sum of Squares

Mean Squares

F ratio

Model(Reg)

5

135.46-105.65=29.81

29.81/5=5.962 5.962/0.4846433=12.30183

Error(Residual)

223-5=218

105.65

0.4846433

Prob>F

Total

224-1=223

135.46

<0.001

(A)=5, (B)=218, (C)=223, (D)=29.81, (E)=5.962, (F)=12.30183 and (G)=(0.1464842907) / (0.03900487) =3.76

b.

c.

d.

e. Since p-value of F test <0.05 so there is sufficient evidence that this is a significant mode .

f. HSM is only significant predictor since its p-value= 0.0002 <0.05 and other predictor are not significant at 5% level of significance. Though HSE is significant at 10% level of significant (since its p-value=0.0511<0.1).


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