The following scatter plot displays data for Mileage (x) and Price ((y). Answer the questions below based on the information provided on the graph. y = -0.1264x + 15624 r= -0.8884 Price vs. Mileage $18,000 $16,000 y=0.1264x+ 15624 R 0.7892 $14,000 $12,000 $10,000 $8,000 $6,000 $4,000 $2,000 10000 20000 30000 40000 s0000 60000 70000 80000 90000 100000 a. Using the regression equation, tell what price you would expect for a car with mileage 55,555 b. Using the regression equation, tell what mileage you would expect for a car worth $13,100. c. Interpret the meaning of r’ in the context of this problem. d. Explain what r tells you about the relationship between price and mileage.

An electronics store sells new and used Z-phones. The store manager made the scatter plot below to show the selling prices of used Z-phones and their ages, in monthsIf these data are modeled by the line y=-10x+410, which best describes a valid prediction the manager could make, based on the dataA.If the store sells a Z-phone that is 30 months old, it will probably sell for only $50B.If the store sells a brand-new Z-phone, it can expect a customer to pay about $410C.For every one-month increase in phone age, the price a customer will pay increases by about $10D.For every one-year increase in phone age, the price a customer will pay decreases by about $10

This table shows the systolic blood pressure of y, patients x years old.  state the slope and interpret the meaning in the context of this problem.

In the United States, it is illegal to drive with a blood alcohol concentration of 0.08 or higher. (A blood alcohol concentration of 0.08 indicates 0.08% alcohol in the blood.) The scatter plot shows the relationship between the number of one-ounce beers consumed per hour by a 200-pound person and that person's corresponding blood alcohol concentration. Also shown is a line that passes through or near the data points. Blood Alcohol Concentration Based y on a Body Weight of 200 Pounds 0.14 0.12 0.10 (7, 0.121) 0.08 0.06 0.04 (3, 0.053) 0.02 2 3 4 5 7 Number of Beers per Hour Source: National Highway Traffic Safety Administration a. Use the two points whose coordinates are shown by the voice balloons to find the point-slope form of the equation of the line that models the blood alcohol concentration of a 200-pound person, y, who consumes x one-ounce beers per hour. b. Write the equation from part (a) in slope-intercept form. Use function notation. c. Use the linear function to predict…

B-E. Please help

what would be the estimated y-intercept.

Interpret the unstandardized coefficient for highest years of schooling. E.g., Is the relationship positive or negative? How does a one-unit change in schooling (i.e. an increase in one-year of education) influence Y?  Interpret the constant (i.e. the intercept) in the equation? What does it indicate? Calculate the average number of hours watched for someone with 12 years of education.

Given data of height, x and stories, y is of six notable buildings in a city. height numbers: 768, 628, 518, 511, 491, 478 and stories numbers: 52, 48, 46, 43, 37, 35.  What is the scope and y intercept of this? Round the scope to three decimal places as needed. Round the y-intercept to two decimal places as needed.

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.

The table and scatter plot show the number of years of experience, x, and the hourly pay rate, y, for each of 10 cashiers in Arizona. The equation of the line of best fit is y = 0.9xr+8.22. Experience, x Hourly pay rate, y (in years) 22 (in dollars) 20+ 0.8 7.47 18- 1.1 9.46 +16- Hourly 2.2 8.91 14+ pay rate 3.1 11.46 (in dollars) 124 10 3.8 12.31 3.8 13.00 6- 5.0 14.50 6.9 12.40 8.5 15.44 10 10 11 8.8 15.79 Experience (in years) Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed hourly pay Predicted hourly pay Number of years Residual (in dollars) rate rate of experience (in dollars) (in dollars) 5.0 6.9