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Author Question: As part of a study at a large university, data were collected on n = 224 freshmen computer science ... (Read 98 times)

jc611

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As part of a study at a large university, data were collected on n = 224 freshmen computer science (CS) majors in a particular year. The researchers were interested in modeling y, a student's grade point average (GPA) after three semesters, as a function of the following independent variables (recorded at the time the students enrolled in the university):

      x1 = average high school grade in mathematics (HSM)
      x2 = average high school grade in science (HSS)
      x3 = average high school grade in English (HSE)
      x4 = SAT mathematics score (SATM)
      x5 = SAT verbal score (SATV)

A first-order model was fit to data with the following results:
_____________________________________________________________________


        ROOT MSE0.700R-SQUARE0.211
        DEP MEAN 4.635 ADJ R-SQ 0.193


Interpret the value under the column heading PROB > F.
◦ Accept H0 (at α = .01); at least one of the β-coefficients in the first-order model is equal to 0.
◦ Over 99% of the variation in GPAs can be explained by the model.
◦ There is sufficient evidence (at α = .01) to conclude that the first-order model is statistically useful for predicting GPA.
◦ There is insufficient evidence (at α = .01) to conclude that the first-order model is statistically useful for predicting GPA.


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Marked as best answer by jc611 on Feb 14, 2020

ntsoane kedibone

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jc611

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Reply 2 on: Feb 14, 2020
Great answer, keep it coming :)


Dominic

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Reply 3 on: Yesterday
Wow, this really help

 

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