The line of best fit through a set of data isy=46.539+4.023xy=46.539+4.023x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 40? y = Round to 1 decimal place.

The line of best fit through a set of data isy=46.539+4.023xy=46.539+4.023x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 40? y = Round to 1 decimal place.

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

See similar textbooks

Similar questions

Does Table 2 represent a linear function? If so, finda linear equation that models the data.
John calculated r -.44 for a set of n 10 pairs of values that represent the number of absences from class (X) and students midterm exam scores (Y). How much of the variability in exam scores can be predicted from the relationship with the number of absences?
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=-1.054 b=21.963 Use this to predict the number of sit-ups a person who watches 2.52.5 hours of TV can do in a minute. Round to the nearest whole number. __?__
Where is the quadratic model for the data?
Please show how you came to your answer.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.
Write down the different Multiple Regression Equations?
A regression was run to determine if there is a relationship between hours of study per week (X) and the test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.
Determine the type of variation model that best fits the data in the attached image.
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+ba=6.88b=34.85r2=0.535824r=0.732Use this to predict the final exam score of a student who studies 6 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.817 b=32.111 r²=0.877969 r=-0.937 Use this to predict the number of situps a person who watches 13.5 hour(s) of TV can do, and please round your answer to a whole number.