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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 21 students who have previously taken the course are given in the table.

Test Scores
Student First Test Grade Second Test Grade
1 88 76
2 72 69
3 80 74
4 44 64
5 71 77
6 50 66
7 98 86
8 78 78
9 73 78
10 50 62
11 65 71
12 43 56
13 61 64
14 71 71
15 88 80
16 87 82
17 84 82
18 85 83
19 40 60
20 87 78
21 41 59

Step 1 of 2 :  

Using statistical software, estimate the parameters of the model


Second 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.

Yi=______________+(________________)Xi

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Answer #1

FRGui (32-bit) - [R Console) R File Edit View Misc Packages Windows Help > x=c(88,72,80,44,71,50,98,78,73,50,65, 43,61,71,88,8> model=lm (yºx, data=d) > model Call: ln (formula = y - x, data = d) Coefficients: (Intercept) 40.4489 0.4578 > summary (modHere we use R software

Independent Variable X : First test Grade.

DepedDepe Variable Y : Second test Grade.

From Outcome

\beta0 = 40.4489 , \beta 1 = 0.4578

Second test grade(Yi) = 40.4489+ (0.4578) First test grade(Xi)

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