will really help if someone can answer this short multiple questions answer

answer the multiple choice questions

please answer the multiple choice questions

answer the multiple choice questions

Chapter 7: Linear Regression A data analyst wishes to learn about what factors contribute to an employee's salary. She collected a sample data that contains the following information about some employees in a company. y = beginning monthly salaries in dollars (SALARY) x1 = number of years of schooling at the time of hire (SCHOOL) x2 = number of months of previous work experience (EXPERIENCE) x3 = number of months since the employee was hired (MONTHS) X4 = dummy variable coded 1 for male employees and 0 for female employees (MALE) The data analyst conducted a regression analysis of the data using the following model: y = Bo + B x1 + B2 x2 + B3 x3 + B4 x4 + E Below is the Excel output of the regression analysis. Answer the following questions based on the Excel output. Question 1 (3 points) Question 1 (3 points) For the sample data, the percentage of variation in beginning monthly salaries that can be explained by the estimated regression equation equals 95% 50% 73% 53% Question 2 (3 points) For employees with the same number of years of schooling at the time of hire and the same number of months of previous experience, if the number of months since hire remains the same, then the average beginning monthly salary for male employees is $ A higher than that of female employees. Use 2-decimal accuracy for the final answer, e.g., 0.12, when necessary. Hypothesis Testing: Test whether there is a linear relationship between the beginning monthly salaries (SALARY) and the number of months of previous work experience (EXPERIENCE). Use the level of significance a = 0.05. Complete the procedure below for the hypothesis testing. Question 3 (3 points) Define the hypotheses. Ho: b2 = 0 Hz: b20 Ho: B20 Ha: B2 - 0 Ho: B2 - 0 H: B2 - 0 Ho: b2 = 0 Ha: b2 = 0 Question 4 (3 points) A(n) should be used for the hypothesis testing. Z test Ftest t test Question 5 (3 points) The value of the test statistic . Use 2-decimal accuracy for the final answer. e.g. 0.12, when necessary. Question 6 (3 points) The p-value for the test - decimal accuracy for the final answer, e.g., 0.12, when necessary. A/ Use 3- Question 7 (2 points) Based on the p-value and the level of significance a, we reject Ho do not reject Ho Question 8 (2 points) Based on the sample data, there is sufficient evidence that a linear relationship between SALARY and EXPERIENCE. does not exist exists Chapter 7: Linear Regression A data analyst wishes to learn about what factors contribute to an employee's salary. She collected a sample data that contains the following information about some employees in a company. y = beginning monthly salaries in dollars (SALARY) x1 = number of years of schooling at the time of hire (SCHOOL) x2 = number of months of previous work experience (EXPERIENCE) x3 = number of months since the employee was hired (MONTHS) X4 = dummy variable coded 1 for male employees and 0 for female employees (MALE) The data analyst conducted a regression analysis of the data using the following model: y = Bo + B x1 + B2 x2 + B3 x3 + B4 x4 + E Below is the Excel output of the regression analysis. Answer the following questions based on the Excel output. Question 1 (3 points) Question 1 (3 points) For the sample data, the percentage of variation in beginning monthly salaries that can be explained by the estimated regression equation equals 95% 50% 73% 53% Question 2 (3 points) For employees with the same number of years of schooling at the time of hire and the same number of months of previous experience, if the number of months since hire remains the same, then the average beginning monthly salary for male employees is $ A higher than that of female employees. Use 2-decimal accuracy for the final answer, e.g., 0.12, when necessary. Hypothesis Testing: Test whether there is a linear relationship between the beginning monthly salaries (SALARY) and the number of months of previous work experience (EXPERIENCE). Use the level of significance a = 0.05. Complete the procedure below for the hypothesis testing. Question 3 (3 points) Define the hypotheses. Ho: b2 = 0 Hz: b20 Ho: B20 Ha: B2 - 0 Ho: B2 - 0 H: B2 - 0 Ho: b2 = 0 Ha: b2 = 0 Question 4 (3 points) A(n) should be used for the hypothesis testing. Z test Ftest t test Question 5 (3 points) The value of the test statistic . Use 2-decimal accuracy for the final answer. e.g. 0.12, when necessary. Question 6 (3 points) The p-value for the test - decimal accuracy for the final answer, e.g., 0.12, when necessary. A/ Use 3- Question 7 (2 points) Based on the p-value and the level of significance a, we reject Ho do not reject Ho Question 8 (2 points) Based on the sample data, there is sufficient evidence that a linear relationship between SALARY and EXPERIENCE. does not exist exists