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.
Age | GPA | Number of Tickets |
---|---|---|
18 | 2 | 1 |
19 | 2 | 1 |
19 | 2 | 2 |
20 | 2 | 4 |
21 | 2 | 6 |
22 | 2 | 7 |
22 | 4 | 7 |
22 | 4 | 8 |
22 | 4 | 8 |
Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
If the relationship is statistically significant, indicate the multiple regression equation that best fits the data, rounded to 3 decimal places.
Please don't hesitate to give a "thumbs up" for the answer in case the answer has helped you
The p-value of the equation that best fits the data is 5.21*10^05 or 0.0000
The linear regression equation is , Y^ = -30.836 + 1.707*Age
Age is statistically significant. GPA is not, since it has a p-value > .05
The following data was collected to explore how a student's age and GPA affect the number...
The following data was collected to explore how the average number of hours a student studies per night and the student's PA affect their ACT score. The dependent variable is the ACT score, the first independent variable (ri) 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 24 21 19 17 Copy Data Step 1 of 2: Find the p-value for the regression...
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...
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 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...
The table below gives the number of parking tickets received in one semester and the GPA for five randomly selected college students who drive to campus. Using this data, consider the equation of the regression line, yˆ=b0+b1x , for predicting the GPA of a college student who drives to campus based on the number of parking tickets they receive in one semester. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember,...
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...
The table below gives the number of parking tickets received in one semester and the GPA for five randomly selected college students who drive to campus. Using this data, consider the equation of the regression line y^=b0+b1x , for predicting the GPA of a college student who drives to campus based on the number of parking tickets they receive in one semester. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember,...
The table below gives the number of parking tickets received in one semester and the GPA for five randomly selected college students who drive to campus. Using this data, consider the equation of the repression line y bo + bix. for predicting the GPA of a college student who drives to campus based on the number of parking tickets they receive in one semester. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
Use the Age data set and the GPA data set from the Class Survey spreadsheet to complete this project. (1 points) By submitting this completed project for grading, you are agreeing that you worked independently on this project and the work is yours. If you are found to have worked with anyone or copied another student's wo you will be given a zero on this project Question: Is there a relationship between a student's age(x), in years, and their Grade...
Question 5of 16 Step 1 of 2 The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student recelves in a of parking tickets, and the second independent variable (t2) is the student's age. 01:25:23 semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (xy) is the number Coefficients Standard ErrorStatp-value 3799071 2.671951 5.164417 0.002086 0.914815 0.395565 0.598143 0.139329 4.29301...