A regression was run to determine if there is a relationship between hours of TV watched per day, x, an number of sit-ups, y, a person can do in a minute. The results of the regression were: y=ax+b a=-0.605 b=23.866 Use this to predict the number of sit-ups a person who watches 6 hours of TV can do in a minute. Round the nearest whole number.

A regression was run to determine if there is a relationship between hours of TV watched per day, x, an number of sit-ups, y, a person can do in a minute. The results of the regression were: y=ax+b a=-0.605 b=23.866 Use this to predict the number of sit-ups a person who watches 6 hours of TV can do in a minute. Round the nearest whole number.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...

See similar textbooks

Similar questions

Refer to the previous exercise. Suppose the lightmeter on a camera indicates an EI of 2 , and thedesired exposure time is 16 seconds. What should thef-stop setting be?
For the following exercises, draw a scatter plot for the data provided. Does the data appear to be linearly related?
For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
For the following exercises, draw a best-fit line for the plotted data.
If you travel 100 miles in two hours, then your average speed for the trip is Average speed=_________=________
For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Determine whether the trend appears linear. If so, and assuming the trend continues, find a linear regression model to predict the percent of unemployed in a given year to three decimal places.