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 8989 7777 2 6060 7373 3 5252 6767 4 4444 6262 5 7474 7373 6 6969 7171 7 4343 6363 8 8080 7878 9 4747 6161 10 7676 7878 11 6565 7575 12 8989 7878 13 7878 7777 14 9696 8181 15 5252 6161 16 9393 8585 17 9090 8080 18 6767 6969 19 4343 6060 20 4848 6161 21 4646 6161 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.

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...

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	8989	7777
2	6060	7373
3	5252	6767
4	4444	6262
5	7474	7373
6	6969	7171
7	4343	6363
8	8080	7878
9	4747	6161
10	7676	7878
11	6565	7575
12	8989	7878
13	7878	7777
14	9696	8181
15	5252	6161
16	9393	8585
17	9090	8080
18	6767	6969
19	4343	6060
20	4848	6161
21	4646	6161

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.

Jun 07, 2022

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