Question

In: Statistics and Probability

A statistics professor would like to build a model relating student scores on the first test...

A statistics professor would like to build a model relating student scores on the first test to the scores on the second test. The test scores from a random sample of 2121 students who have previously taken the course are given in the table.

Test Scores
Student First Test Grade Second Test Grade
1 6767 7070
2 9797 8181
3 4242 6161
4 6969 7272
5 5656 6363
6 6666 7272
7 9999 9090
8 7979 7373
9 8888 7878
10 6363 6767
11 6161 6565
12 8383 7777
13 8989 8585
14 4343 5757
15 8585 7676
16 4040 6464
17 4747 6666
18 9393 7979
19 9393 8080
20 5656 6767
21 5050 6767

Copy Data

Step 1 of 2 :  

Using statistical software, estimate the parameters of the model


Second Test Grade=β0+β1(First Test Grade)+εiSecond Test Grade=β0+β1(First Test Grade)+εi.


Enter a negative estimate as a negative number in the regression model. Round your answers to 4 decimal places, if necessary.

Solutions

Expert Solution

i am using minitab to solve the problem.

steps for getting regression equation:-

stat regression regression fit regression model in responses select final second Test Grade,in continuous predictors select First Test Grade okok.

to round off any value to needed decimal places :-

right click on the value decimal places select the needed place(here, we will select 4 )

the needed minitab output be:-

Coefficients

Term Coef SE Coef T-Value P-Value VIF
Constant 43.8107 2.52 17.40 0.000
First test grade 0.4024 0.0348 11.57 0.000 1.00

*** SOLUTION ***

the regression equation be:-

*** if you have any doubt regarding the problem ,please write it in the comment box...if satisfied,please UPVOTE.


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