I have solved the problem in excel. Screenshot attached.
1) P-Value of the equation is 0.0016
2)P value of intercept as well as independent variables (study hours and GPA) are less than 0.05.
This means, there is a significant linear relationship between independent and dependent variables.
The regression equation is:
ACT Score=12.136 + 0.727 * StudyHours + 2.045 * GPA
The following data was collected to explore how the average number of hours a student studies...
Question 4 ·Of 11 Step 2 of 2 01:33:18 The following data was collected to explore how the average number of hours a score. The dependent variable is the ACT score, the first independent variable (xi )is the number of hours spent studying,and the second student studies per night and the student's GPA affect their ACT variable (x2) is the student's GPA Effects on ACT Scores Study Hours GPA ACT Score Copy Data Next level of significance. If the relationship...
Please help with these two problems
question o 01:18:34 Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df MS F Significance F Regression 3 523.231895 174.410632 1.603117 0.284674 Residual6 652.768105 108.794684 Total 9 91176 Copy Data Keypad ■Tables Answer 2 Points OYes O No Next Prev 01:17:56 The following data was collected to...
PLEASE EXPLAIN. I have no idea what statistical software to
use!
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 2 2 22 2 2...
Question 1 of 9. Step 2 of 2 1/16 Correct The following data was collected to explore how a students age and GPA affect the number of parking tickets they receive in a given year The dependent variable is the number of parking sekets. the first independent variable in is the students age, and the second Independent variable() is the student's GPA Effects on Number of Parking Tickets GPA Number of Tickets Copy Data Step 2 of 2: Determine if...
The following data was collected to explore how a student's age and GPA affect the number of parking tickets they receive in a given year. The dependent variable is the number of parking tickets, the first independent variable (x1) is the student's age, and the second independent variable (x2) is the student's GPA. Effects on Number of Parking Tickets Age GPA Number of Tickets 18 2 1 19 2 1 19 2 2 20 2 4 21 2 6 22...
omit Assignment DSCI 3710 Hawkes Quiz 2 01:37:35 Question 4 of 11 Step 1 of 2 The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x) s the number of hours spent studying and the second ndependent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score...
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...
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, y = bo + b x, 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...
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, û = bo + b x, 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...
The table below gives the number of hours ten randomly selected students spent studyling and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, -bo +bix, 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...