A biologist collected data on a sample of 20 porcupines. She wants to be able to predict the body mass of a porcupine (M, in grams) based on the length of the porcupine (L, in cm). Her least squares regression equation is M = -3089 +175.6L. Predict the body mass of a porcupine that is 51 cm long. Report your answer using one decimal place. 5661.0 g 5732.5 g O 5866.6 g 6139.2 g

The equation used to predict annual cauliflower yield​ (in pounds per​ acre) is y=24,596+4.423x1−4.772x2​, where x1 is the number of acres planted an x2 is the number of acres harvested. Use the multiple regression equation to predict the​ y-values for the values of the independent variables.

Show all calculations, do not use excel. Regression analysis questions.

Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-intercept to at least four decimal places.

Find the regression equation (rounding values to 2 places), letting the first variable be the independent variable x.Use the regression equation values to find the best predicted gross amount for a movie with a budget of 69 million dollars. Hint: Use the exact regression values to find an accurate predicted value and then round your answer.In the table below, all amounts are in millions of dollars.   Budget 95 195 80 89 92 92 86 83   Gross 60 599 57 47 66 65 55 62   y = ? +?  x y69 =?

Caselet #1 ADVERTISEMENT A marketing executive wishes to determine whether there is a relationship between the number of television commercials aired per week and the number of sales (in thousand pesos) of a product. The data for the sample follow. Number of Ads, x 2 8. 8. 10 12 Sales, y 2 4 7 6. 10

Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 20 minutes. How does the result compare to the actual tip amount of $4.55? Distance 0.68 2.47 12.71 1.80 1.02 8.51 1.32 1.40 6.00 18.00 27.00 25.00 8.00 31.00 8.00 18.00 6.30 14.30 36.80 16.30 7.80 31.75 7.80 12.30 1.89 4.29 0.00 1.50 2.34 2.98 0.00 2.46 Time Fare Tip The regression equation is y=+ X (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 20 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $4.55? O A. The best predicted value is close to the actual tip of $4.55. O B. The best predicted value…

How will you answer this question ? Thank you.

Use the regression equation to predict the suicide rate for a state with a divorce rate of 6.5. Y = -0.20 + 2.87x

Based on data taken from airline fares and distances One of the flights was 350 miles and its residual was - flown, it is determined that the equation of the least- 105.00. What was the fare for this flight? squares regression line is ŷ = 102.50+ 0.65x, where y is the predicted fare and x is the distance, in miles. $102.50 $435.00 $225.00 $330.00