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/week x Grade y 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.

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/week x Grade y 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.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 41RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed in...

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hours/week x	Grade y
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

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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, 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 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 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 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 5 57 5 49 6 57.4 8 60.2 9 58.6 12 70.8 13 74.2 13 75.2 14 75.6 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 11 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 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.
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The prelim grades (x) and midterm grades (y) of a sample of 10 MMW students is modeled by the regression line y = 12.0623 + 0.7771x. Estimate the prelim grade if the midterm grade is 83.
The following multiple regression printout can be used to predict a person's average annual salary given his or her years of employment and number of years of education beyond high school. Regression Analysis: Salary Versus YrsEm, Educ Coefficients Term Coef SE Coef T-Value P-Value Constant 23,175 1,771 13.09 0.000 YrsEm 671 141 4.76 0.000 Educ 1,911 378 5.06 0.000 (a) Is the regression coefficient of education (Educ) statistically significant? (Use ? = 0.05.) Given this output, the regression coefficient for education (is/is not) statistically significant. (b) Does the variable education belong in the model? Given this output, the variable education (may/may not) belong in the model. (c) Given this output, which of the following is the correct interpretation for Education in this model? -For each additional year of education beyond high school, the estimated change in the average annual salary is $23,175, controlling for years of employment. -For each…
Run a regression analysis on the following bivariate set of data with y as the response variable. x55.272.17858.348.94668.67452.874.399.271.2 y66.8-52.47.877.463.775.920.318.444.8-17.2-5811.6 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)r² = % Based on the data, calculate the regression line (each value to three decimal places) y = x + Predict what value (on average) for the response variable will be obtained from a value of 92.3 as the explanatory variable. Use a significance level of α=0.05to assess the strength of the linear correlation. What is the predicted response value? (Report answer accurate to one decimal place.)y =