A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the file MktHrsPts.

a. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying?b. Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model?c. How good is the simple linear regression model? Explain.d. Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part b to predict the total points Mark earned.

b) There’s need to develop a projected regression equation that will show how total points earned is related to hours spent studying. What is the estimated regression model?

Answer: [tex]y=8.674 + 0.801x[/tex]

c)

Answer: Both the regression parameters β0 and β1 are unequal to zero at a 0.01 level of significance.

β0 Which means the expected mean value of overall points earned when the number of hours spent studying = 0. So on average student is projected to get 8.674 points if he/she does not spent any hour in studying.

β1 means for every one hour spent on studying, the total points earned are expected to be increased by 0.801 points.

These interpretations are reasonable.

d.

Answer: in view of the fact that the R square = 0.8277, as a result the 82.77% of the variation in the samples values of overall point earned is explained by the independent variable (Hours spent studying) in the model

swatiupadhyay714 swatiupadhyay714 · Answer 2 · 2021-12-11T15:38:00+01:00

Logistic regression is a variable that depicts the association between a responsive, reliant, or objective parameter and one or more predictor variables.

Many methods of prediction and assessing the impacts on target variables are based on regression analysis.

The answers to the sub-parts are:

a) The explanation has been attached below.

b) A planned linear relationship that demonstrates how total points achieved are correlated to hours spent studying is requested.

c) At a 0.01 threshold of importance, both the predictor components 0 and 1 are unequal to zero.

When the hours spent studying are equal to 0, the predicted mean value of overall points achieved is 0. So, if a student wastes no time reading, he or she is supposed to receive 8.674 points on average.

denotes that for every hour spent studying, the total points collected should climb by 0.801 points.

These explanations are fair.

d. Given that the R square = 0.8277, the independent variable (Hours spent studying) in the equation explained for 82.77 percent of the sample in the experimental numbers of the main argument obtained.

To know more about the regression model, refer to the link below:

https://brainly.com/question/11805375