Q4 :
= 0.00401x+0.88929
We know that the regression equation is given as below
= (Slope)x+(y-intercept)
For the given case, the slope is given as 0.00401 and y-intercept is given as 0.88929. Hence the regression equation is given as below
= 0.00401x+0.88929
Thus option c is the correct answer
Q6 :
400 : Not appropriate
As the scores of quantative section ranged from 480 to 700, an input of 400 is not appropriate for this model
500 : 2.89
A score of 500 is in the range of 480 to 700. The predicted GPA can be found by substituting x=500 in the regression equation
Predicted GPA = 0.00401*500+0.88929 = 2.89
600 : 3.30
A score of 500 is in the range of 480 to 700. The predicted GPA can be found by substituting x=500 in the regression equation
Predicted GPA = 0.00401*600+0.88929 = 3.30
Question 6 3 pts For each of the quantitative GRE scores, use the regression equation to...
Question 3 1 pts Is the correlation significant? Yes, quantitative GRE score can be used to estimate first year GPA No, quantitative GRE score can't be used to estimate first year GPA Question 4 1 pts The slope of the regression equation to predict first year GPA from quantitative GRE score is 0.00401, and the y-intercept is 0.88929. Select the regression equation. y = 0.88929x + 0.00401 ŷ = 0.88929x + 0.00401 y = 0.00401x + 0.88929 y = 0.00401x...
A
graduate program wants to determine if first year graduate student
GPA,y, Is linearly related to score on the quantitative section of
the GRE,x, (Graduate Recored Examinations).
Data was collected from 15 randomly selected graduate
students. Scores on the quantitative secrion of the GRE ranged from
480 to 720.
1. To determine if the correlation is significant, what rule
is used?
a. correlation is significant if |r| > critical
value.
b. correlation is significant if |r| < critical value
c....
Question 1 1 pts The correlation between score and first year GPA is 0.529. What is the critical value for the testing if the correlation is significant at a =.05? Question 2 1 pts To determine if the correlation is significant, what rule is used? correlation is significant if r<.05 correlation is significant if |r| < critical value O correlation is significant if r>.05 correlation is significant if |r| > critical value Information for questions 1-6: A graduate program wants...
GRE SCORES: The test scores for the verbal reasoning and the quantitative reasoning section of the Graduate Record Examination (GRE) are normally distributed. In a recent year, the mean test score was 150 and the standard deviation was 8.75. The test score of a student is selected at random. What is the probability that the student's test score is LESS THAN 162? Round your answer to 4 decimals.
Directions: Please download the files, HW_6_Data.xlsx, from Blackboard. This question requires you to use Excel to run multiple linear regression models. In order to receive full credit, you must turn in Excel output with your answers. A researcher was interested in how students' Graduate Record Examinations scores (GREQ- Quantitative and GREV-Verbal) predict college students' graduate school Grade Point Average (GGPA). He collects data from 30 college students. The GRE Quantitative (X1) and GRE Verbal (X2) scores can range from 400-1600...
A university made an analysis of the relationship between the Math SAT scores (range 200-800) and first-year GPAs(range 0 to 4.0) for students who complete the first year. The average SAT score is 531 and the SD is 76 and the average GPA is 2.75 and the SD is 0.65. Suppose the correlation coefficient is found to be 0.7. a) A student is chosen at random and has a SAT score of 678. Use regression to predict this student's GPA....
I need help interpreting logistic regression results to answer
the following question: Does GRE scores, undergraduate GPA and the
prestige (yes or no) of their undergraduate program effect
admission (yes or no) into graduate school?
Fit Group 4 Logistic Fit of ADMIT 2 By GRE 1.00 Contingency Analysis of ADMIT 2 By TOPNOTCH 2 4 Mosaic Plot Logistic Fit of ADMIT 2 By GPA 1.00 1.00 0.75 0.75 No 0.75 No No ADMIT 2 0.50 N 0.50 ADMIT 2 ADMIT...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...
6. (12 pts, 2 pts each) The Graduate Record Exam (GRE) has a combined verbal and quantitative mean of 1000 and a standard deviation of 200. Scores range from 200 to 1600 and are approximately normally distributed. For each of the following problems: (a) Indicate the percentage or score called for by the problem. (b) Select the appropriate distribution curve (from below) that relates to the problem 1410 00 Curve C 100 60 1000 Curve 140 0 Curves Page 3...
A researcher develops a regression equation to predict first-year college grades (Y) from high school GPA (X): Y = 1.46 + .51X + e. A student with a high school GPA of 2.8 had an actual first-year college GPA of 3.7. What was the error of prediction for this student? A.) 0.5 B.) -0.5 C.) -0.8 D.) 0.8