Question

We study the relation between students' GPA and the number of hours per week spent studying....

We study the relation between students' GPA and the number of hours per week spent studying. To this end, we consider the following regression model, GPA = β 0 + β 1 hours+u where GPA is the variable measuring students' GPA, hours is the variable measuring the number of hours studying, and u is the error term. We found the following OLS estimates: β ^ 0 = 2.67 β ^ 1 = 0.601 What is the predicted GPA of a student with a number of hours per week spent studying is 19? (Give your answer up to two decimals.)

Homework Answers

Answer #1

The given regression equation is

In the above equation we inserted X to mention the study hours and the y is the GPA of the student is the dependent variable and hours is the independent variable.The predicted GPA of the student who spent 19 hours per week in studing is given by

the predicted GPA of the student is obtained by inserting 19 in place of X.

The answer is 14.089

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The Data below represents number of hours students’ study Mathematics per week and their corresponds GPA...
The Data below represents number of hours students’ study Mathematics per week and their corresponds GPA –(GPA is based on 0 to 4) Hours of Study GPA 4 3 4.5 3 5 3.33 5 3 6 3.67 7 3.5 7 3.5 8 4 4.5 4 6 3 7 4 6 3.5 8 3.67 Draw the Scatter Diagram considering “x” as study time and “y” as the GPA of a student. Find the predicted linear equation, then describe the domain and...
Suppose you are interested in estimating the effect of hours per week spent studying (study) on...
Suppose you are interested in estimating the effect of hours per week spent studying (study) on university grade point average (gpa) for first-year students; the model is ??? = ?0 + ?1????? + ?. One of the factors contained in u in the regression above is the student's major concentration. How is the omitted factor you chose likely to be correlated with ?????? How is the omitted factor you chose likely to be correlated with ???? Using these two correlations,...
The table below gives the number of hours ten randomly selected students spent studying and their...
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...
Predict a student’s GPA (y) based upon the number of hours studied per week (x). Hours/week...
Predict a student’s GPA (y) based upon the number of hours studied per week (x). Hours/week GPA 5 2.5 10 3.1 12 3.3 20 3.8 15 3.7 12 3.5 If you used the least-squares regression line to predict the GPA of a student who studied 40 hours per week that would be: a) residual b) interpolation c) extrapolation d) r2
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction...
43 college students 44% male, 56% female Students reported on the number of hours spent studying...
43 college students 44% male, 56% female Students reported on the number of hours spent studying per week (0-40 hours), their life satisfaction (scale from 0-100), degree of stress they experienced over the last month (scale 0-5), and completed an IQ test (40-160). Students also reported their gender (1=male, 2=female) and cumulative GPA. For each of the statistical analyses (5 total) performed, you need to provide responses to two questions: What type of statistical analysis was used to examine what...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the grades that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT