The scatter plot shows the time spent texting, x, and the time spent exercising, y, by each of 24 students last week.109-Time spent7-exercisingxx(in hours)1-101Time spent texting(in hours)Use the equation of the line of best fit, v =-0.75x+8.65, to answer the questions below.Give exact answers, not rounded approximations.(a) What is the predicted time spent exercising for astudent who doesn't spend any time texting?O hours(b) For an increase of one hour in the time spent texting,what is the predicted decrease in the time spentexercising?O hours(c) What is the predicted time spent exercising for astudent who spends 6 hours texting?hours

From the graph The equation of the line is y=-0.75x+8.65 .......(1)

Answered: Use the equation of the line of best…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Here are two sets of bivariate data with the same response variable. The first contains the variables x & y. The second contains the variables w & y | y w y 25.3 43.9 68.8 36.7 43.8 56.7 57 55 49.2 61.3 27.9 52 57.4 69.3 48 | 50.5 33.7 47.3 58.3 49.2 46.3 56 46.6 34.4 67.1 75.8 35.1 48.3 25.7 43.4 19 76.8 47.2 57.9 7.3 56.8 37.5 57.4 32.9 56.2 44.8 60.4 43.8 49 29.7 38.5 26.4 | 60.9 42.8 53.6 55.6 49.4 60.3 69.7 53.9 55 53.2 67.1 47.8 42.7 57.4 66.3 25 54.8 45.5 57.6 13.9 65 42 51.6 69.5 43.6 38.9 54.8 79.5 29
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If someone uses the equation (y= -20.5893(x) + 24.3929) to predict the percentage of weeds killed when 2.6 teaspoons of weed killer are used, which would the following would you expect? •the prediction will be too high •the prediction will be too low •a prediction cannot be made Explain your reasoning.
please explain with an example.
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The following equation describes the relationship between output and labor input at a sample of work stations in a manufacturing plant ŷ = 2.35+2.20X. Suppose, for a selected workstation, the labor input is 5, the predicted output is?
This is a regression model of how many potato chips one can eat while watching a movie: Y=-2.014*x+40 and the R squared is 0.5 How many chipsp are to be eaten in a 12 hour period?
A trendline is given to depict enrollment at a local college where x is the year and y represents enrollment. Y=178.09x-353194 Use the rrendline ro estimate the enrollment for 2009. Round to the nearest whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.399 b=26.311Use this to predict the number of sit-ups a person who watches 12.512.5 hours of TV can do in a minute. Round to the nearest whole number.

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