Run a regression analysis on the following data set, where y is the final grade in a math class and zis the average number of hours the student spent working on math each week.hours/weekGradey55.610651479.6158315871996.61997.61996.62010020100State the regression equation y= m · I | b, with constants accurate to two decimal places.What is the predicted value for the final grade when a student spends an average of 14 hours eachweek on marh?Grade =Round to 1 decimal place.Question Help: DViceoSubmit QuestionO Type here to search

From the provided information, Hours/week(x) Grade(y) 4 55.6 10 65 14 79.6…

Run a regression analysis on the following data set, where y is the final grade in a math class and z is the average number of hours the student spent working on math each week. hours/week Grade y 55.6 65 14 79.6 83 15 87 19 96.6 19 97.6 19 96.6 20 100 20 100 State the regression equation y m · I + 6, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 14 hours each week on math? Grade = Round to 1 decimal place. 4045

Run a regression analysis on the following data set, where y is the final grade in a math class and z is the average number of hours the student spent working on math each week. hours/week Grade y 55.6 65 14 79.6 83 15 87 19 96.6 19 97.6 19 96.6 20 100 20 100 State the regression equation y m · I + 6, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 14 hours each week on math? Grade = Round to 1 decimal place. 4045

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.3: Modeling Data With Power Functions

Problem 2TU

See similar textbooks

Similar questions

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
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.
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, consider this scenario: The profit of a company decreased steadily overa ten-year spam.The following ordered pairs shows dollars and the number of units sold in hundreds and the profit in thousands ofover the ten-year span, (number of units sold, profit) for specific recorded years: (46,600),(48,550),(50,505),(52,540),(54,495). Use linear regression to determine a function Pwhere the profit in thousands of dollars depends onthe number of units sold in hundreds.
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.
Run a regression analysis on the following data set, where yyis the final grade in a math class and xxis the average number of hours the student spent working on math each week. hours/weekxGradey445.6548661.4107710771284.81376.21699.41910020100 State the regression equation y=m⋅x+by=m⋅x+b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 15 hours each week on math? Grade = Round to 1 decimal place.
Run a regression analysis on the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. hours/weekx Gradey 5 61 5 54 6 47.4 7 54.8 8 62.2 9 59.6 11 75.4 11 70.4 15 89 18 100 State the regression equation y=m⋅x+by=m⋅x+b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 14 hours each week on math?Grade = Round to 1 decimal place.
Run a regression analysis on the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. hours/weekx Gradey 4 51.6 5 43 13 82.2 14 90.6 15 89 16 80.4 16 89.4 18 97.2 19 91.6 19 97.6 State the regression equation with constants accurate to 2 decimal places.ˆyy^ = x + What is the predicted value for the final grade when a student spends an average of 11 hours each week on math? Round to 2 decimal places.
Run a regression analysis on the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. hours/weekx Gradey 5 56 9 67.6 10 72 11 75.4 12 66.8 13 89.2 13 71.2 14 86.6 14 83.6 14 88.6 State the regression equation y=m⋅x+by=m⋅x+b, with constants accurate to two decimal places.What is the predicted value for the final grade when a student spends an average of 15 hours each week on math?Grade = Round to 1 decimal place.
Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week (x) Grade (y) 7 66.8 7 56.8 8 69.2 11 67.4 13 77.2 14 86.6 17 86.8 17 84.8 18 98.2 20 100 State the regression equation y=m⋅x+b, with constants accurate to two decimal places? What is the predicted value for the final grade when a student spends an average of 12 hours each week on math? (Round to 1 decimal place) Grade =
Run a regression analysis on the following data set, where yy is the final grade in a math class and xx is the average number of hours the student spent working on math each week. hours/weekx Gradey 4 59.6 7 67.8 7 68.8 11 78.4 12 68.8 14 79.6 16 88.4 18 92.2 18 100 20 100 State the regression equation y=m⋅x+by=m⋅x+b, with constants accurate to two decimal places.$y=4.11x+-33.14$y=4.11x+−33.14Incorrecty=2.5⋅x+48.61y=2.5⋅x+48.61 What is the predicted value for the final grade when a student spends an average of 7 hours each week on math?Grade = Round to 1 decimal place.