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Suppose that a random sample of 200 columnists is selected from a large newspaper company and that the number of words they write in a day and the amount of time they spend browsing social networking sites in a day is recorded. A regression of the number of words they write in a day (W) on the number of minutes they spend browsing social networking sites in a day (S) yields: W=572.45-0.75× S Suppose a columnist spends 88 minutes browsing social networking sites. The regression's prediction of the number of words the columnist would write that day is (Round your answer to the nearest whole number.) Suppose the same columnist decides to reduce the time spent on browsing social networking sites by 40 minutes. On average, the predicted number of words the columnist can write that day would by (Round your answer to the nearest whole number.)

Suppose that a random sample of 200 columnists is selected from a large newspaper company and that the number of words they write in a day and the amount of time they spend browsing social networking sites in a day is recorded. A regression of the number of words they write in a day (W) on the number of minutes they spend browsing social networking sites in a day (S) yields: W=572.45-0.75× S Suppose a columnist spends 88 minutes browsing social networking sites. The regression's prediction of the number of words the columnist would write that day is (Round your answer to the nearest whole number.) Suppose the same columnist decides to reduce the time spent on browsing social networking sites by 40 minutes. On average, the predicted number of words the columnist can write that day would by (Round your answer to the nearest whole number.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 2CYU
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Suppose that a random sample of 200 columnists is selected from a large newspaper company and that the number of words they write in a day and the amount of time they spend browsing social networking sites in a day is recorded. A regression of the number of words they write in a day (W) on the number of minutes they spend browsing social networking sites in a day (S) yields: W=572.45-0.75× S Suppose a columnist spends 88 minutes browsing social networking sites. The regression's prediction of the number of words the columnist would write that day is (Round your answer to the nearest whole number.) Suppose the same columnist decides to reduce the time spent on browsing social networking sites by 40 minutes. On average, the predicted number of words the columnist can write that day would (Round your answer to the nearest whole number.) by
Transcribed Image Text:Suppose that a random sample of 200 columnists is selected from a large newspaper company and that the number of words they write in a day and the amount of time they spend browsing social networking sites in a day is recorded. A regression of the number of words they write in a day (W) on the number of minutes they spend browsing social networking sites in a day (S) yields: W=572.45-0.75× S Suppose a columnist spends 88 minutes browsing social networking sites. The regression's prediction of the number of words the columnist would write that day is (Round your answer to the nearest whole number.) Suppose the same columnist decides to reduce the time spent on browsing social networking sites by 40 minutes. On average, the predicted number of words the columnist can write that day would (Round your answer to the nearest whole number.) by
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