There is a belief that a person\'s performance on the GMAT (entrance exam to get

Question

There is a belief that a person's performance on the GMAT (entrance exam to get into graduate school) can be predicted by their undergraduate GPA. Based on regression analysis what are the following values, (Round to three decimal places; put it in '0.' if answer less than 1)

Coefficient of determination = Blank 1

Standard Error of the Estimate = Blank 2

Slope = Blank 3

Y-intercept = Blank 4

GPA GMAT 2.93 617 3.05 557 3.11 599 3.24 616 3.36 594 3.41 567 3.45 542 3.60 551 3.64 573 3.57 536 2.75 688 2.81 647 3.03 652 3.10 608 3.06 680 3.17 639 3.24 632 3.41 639 3.37 619 3.46 665 3.57 694 3.62 641 3.66 594 3.69 678 3.70 624 3.78 654 3.84 718 3.77 692 3.79 632 3.97 784

Explanation / Answer

Coefficient of determination = 0.038

Standard Error of the Estimate =55.694

Slope =33.7492

Y-intercept =516.1508

Regression output


confidence interval variables coefficients std. error    t (df=28) p-value 95% lower 95% upper Intercept 516.1508 109.0593 4.733 .0001 292.7530 739.5486 GPA 33.7492 31.8896 1.058 .2990 -31.5738 99.0721

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