Using the following table, I'm not sure how to answer these questions: a) Find the estimated regression equation of price on the percentage of space containing ads. y^ = +(  )x b) Predict the price of a magazine with 47% of is space containing ads. rounding to 3 decimal places c) Estimate the price of a magazine with 98% of its space containing ads. Runded to 3 decimal places

An industry analyst fits a linear trend model to 2 years of monthly observations measuring the volume of retail sales (in millions of dollars) of passenger cars in the United States. The trend variable equals 1 in January 2017. Below is the equation and some supplementary info  Y hat = 20.020 + 0.2093 t Se = 1.061          R2 = .6703                 DW = 1.533   Estimate the number of passenger cars that will be sold in January of 2019.

Find the slope between the points (4/3,4/13) and (19/3,18/13)

The scatter plot shows the time spent watching TV, x, and the time spent doing homework, y, by each of 23 students last week. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. Note that you can use the graphing tools to help you approximate the line. Time spent doing homework Kin hours) 32- 28- Y 244 20- 124 F 44 B * K 12 x 14 20 24 26 Time spent watching TV (in hours) 32 X (a) Write an approximate equation of the line of best fit. = 0 (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. hours

Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.

The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. Note that you can use the graphing tools to help you approximate the line. y 100- 90+ 80+ ? 70+ Monthly heating cost (in dollars) 60+ 50+ 40+ 30- 20+ 10+ X + 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) X X X X X X x X xx X X X X X xx X X X X X A X Ś (a) Write an approximate equation of the line of best fit. y = 0 (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. $0 X Ś ?

A researcher wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is:    ˆy=5−4xy^=5-4x   where x is the number of years of schooling completed and y is the number of pregnancies.  The slope of the regression line can be interpreted in the following way: When amount of schooling increases by one year, the number of pregnancies tends to decrease by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 4.   When amount of schooling increases by one year, the number of pregnancies tends to increase by 5.   When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5.

Based on data collected from various moving companies, a homeowner uses the linear model y=1.5x+150y=1.5x+150 to predict the total cost of renting a moving truck, yy, for xx minutes. If the homeowner rents a moving truck for 6060 minutes, which statement best describes the slope of the linear model?

The scatter plot shows the number of years of experience, x, and the amount charged per hour, y, for each of 23 dog sitters in California. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the amount charged per hour by a dog sitter with 10 years of experience. Note that you can use the graphing tools to help you approximate the line. Amount charged in dollars \per hour/ 22- 20+ 18+ 16+ 14+ 12+ 10- 8- 6- 4+ 2+ 0 2 4 X 6 X X +3 +: X 8 10 12 14 16 18 20 22 Years of experience X S (a) Write an approximate equation of the line of best fit. :0 y = (b) Using your equation from part (a), predict the amount charged per hour by a dog sitter with 10 years of experience. $0 x Ś