"Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained?

The queshyions in the examples are (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 =   explained     % unexplained     %   (f) Suppose a car weighs x = 39 (hundred pounds). What does the least-squares line forecast for y = miles per gallon? (Round your answer to two decimal places.)  mpg

Given the value of the linear coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. 40.  Crickets & Temperature: r = 0.874 (x  = number of cricket chirps in 1 min., y = temperature in F0)

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

Solve a to e

The final question in the example is (f) At an archaeological site with elevation 6.6 (thousand feet), what does the least-squares equation forecast for y = percentage of culturally unidentified artifacts? (Round your answer to two decimal places.)  %

Describe the explained variation about a regression line in words and in symbols. y x (xi, Yj). (,))) (x₁, y) y = y D Choose the correct answer below. O A. The explained variation is the sum of the squares of the differences between the predicted y-values and the mean of the y-values of the ordered pairs. B. The explained variation is the sum of the squares of the differences between the y-values of each ordered pair and the mean of the y-values of the ordered pairs. C. The explained variation is the sum of the squares of the differences between the observed y-values and the predicted y-values.

An airline has determined that the relationship between the number of passengers (x) on a flight and the total weight (y) (in pounds) of luggage stored in the baggage compartment can be estimated by the least-squares regression equation y = 250+27x. Predict the weight of luggage for a flight with 125 passengers. Which of the following is the answer?  A. 402 pounds  B. 3625 pounds  c. 10,125 pounds  d. 34,625 pounds

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before

The final 2 parts of 5he question is (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 =   explained     % unexplained     %   (f) For a neighborhood with x = 30 hundred jobs, how many are predicted to be entry level jobs? (Round your answer to two decimal places.)  hundred jobs