1. State the estimated regression line and interpret the slope.   2. What is the estimated total personal wealth when a person is 50 years old?    3. What is the value of the coefficient of determination? Interpret

Using the regression formula with a slope = 5000 and intercept = 10,000, what would the predicted income be for someone who has 15 years of education? A. 60,000 B. 150,000 C. 85,000 D. 75,000

You do a survey where you ask people both their age and their income. You want to see if there is a relationship between these two variables, and you want to create an equation you can use to predict someone’s age from his/her income. What kind of hypothesis test or analysis should you do?a. One-Factor, Independent-Measures ANOVAb. Two-Factor ANOVAc. Correlation/Regressiond. Chi-Square Goodness of Fit

please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly

The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time…

d. Using the regression results reported above, please calculate and interpret the separate effects of being an athlete on college GPA for men and women.

The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30?     97     100     10     none of the above

What is the dollar amount of change in sales for each new year according to the regression (slope) model?  Do not use commas or $ in your answer.

An experiment is run. The mass of an object is recorded over time. Time (min) Mass (g) 32 40 36 32 37 32 39 30 50 27 Using your calculator, run a linear regression to determine the equation of the line of best fit. Round to two decimal places, use x for the variable.y=Using your equation, estimate the mass of the object at 41 minutes.grams=

2. A professor wants to see how much students learn over the course of a semester. A pre test is given before the class begins to see what students know ahead of time, and the same test is given at the end of the semester to see what students know at the end. The data are below. Test for an improvement at the a = 0.05 level. Did scores increase? How much did scores increase? Pretest 90 Posttest Xp 89 60 66 95 99 93 91 95 100 64 67 89 91 90 95 95 94 83 89 75 82 87 92 82 83 85 82 88 93 66 90 69 90 93 100 86 95 91 96