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Х Run a regression analysis on the following data set, where y is the final grade...
Run a regression analysis on the following data set, where y is the final grade in...
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 Grade х у 4 41.6 4 54.6 8 68.2 8 73.2 8 66.2 11 63.4 11 70.4 11 80.4 13 71.2 16 85.4 State the regression equation y = mx + b, with constants accurate to two decimal places. What is the predicted value...
Run a regression analysis on the following data set, where y is the final grade in...
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 x y 4 40.6 6 62.4 7 68.8 8 70.2 10 76 11 82.4 13 77.2 14 79.6 15 96 19 100 State the regression equation y = m ⋅ x + b , with constants accurate to two decimal places....
Question 9 < > 0/2 pts 399 Details 4 Run a regression analysis on the following...
Question 9 < > 0/2 pts 399 Details 4 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 Grade х у 52.6 4 41.6 4 41.6 60 64.6 11 82.4 14 90.6 14 78.6 18 90.2 18 93.2 no State the regression equation y=mx+b, with constants accurate to two decimal places. What is...
You run a regression analysis on a bivariate set of data ( n = 41 )....
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
Consider the following regression where gr, is the grade (between 0 and 100) on the final...
Consider the following regression where gr, is the grade (between 0 and 100) on the final exam for student i and hi is the number of hours studied for the exam in the final week. a) Can you think of another variable that you would like to include in the regression to explain the final grade? b) What is the interpretation of Bo? c) Would you be surprised if you estimated a regression and found that Bi was negative? Explain...
х Run a regression analysis on the following bivariate set of data with y as the...
х Run a regression analysis on the following bivariate set of data with y as the response variable. y 28.2 50.9 26.9 60.8 19.2 46.9 23.1 28.6 28.7 69.3 30.4 58.1 40.6 77.3 25.6 60.3 23.1 22.5 23.1 46 19.2 37.2 34.2 74.1 Find the correlation coefficient and report it accurate to three decimal places. 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...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.9 86.0 82.9 80.3 77.4 72.9 63.4 67.7 64.7 61.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.1 85.1 82.1 79.6 76.5 72.0 62.3 66.7 63.7 60.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
The following data represents the number of days absent and the final grade for a sample...
The following data represents the number of days absent and the final grade for a sample of college students in a general education course at a large state university. 0 1 2 3 4 5 6 7 8 9 No. of absences Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a) Which variable is the explanatory variable? b) Draw a scatter plot and describe your scatter plot (Direction, Strength, Form). c) Compute the correlation coefficient d)...
1. The following data represents the number of days absent and the final grade for a...
1. The following data represents the number of days absent and the final grade for a sample of college students in a general education course at a large state university. No. of absences 0 1 2 3 4 5 6 7 8 9 Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a) Which variable is the explanatory variable? b) Draw a scatter plot and describe your scatter plot (Direction, Strength, Form). c) Compute the correlation coefficient....
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 Grade х у 4 41.6 4 54.6 8 68.2 8 73.2 8 66.2 11 63.4 11 70.4 11 80.4 13 71.2 16 85.4 State the regression equation y = mx + b, with constants accurate to two decimal places. What is the predicted value...
Question 9 < > 0/2 pts 399 Details 4 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 Grade х у 52.6 4 41.6 4 41.6 60 64.6 11 82.4 14 90.6 14 78.6 18 90.2 18 93.2 no State the regression equation y=mx+b, with constants accurate to two decimal places. What is...
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
Consider the following regression where gr, is the grade (between 0 and 100) on the final exam for student i and hi is the number of hours studied for the exam in the final week. a) Can you think of another variable that you would like to include in the regression to explain the final grade? b) What is the interpretation of Bo? c) Would you be surprised if you estimated a regression and found that Bi was negative? Explain...
х Run a regression analysis on the following bivariate set of data with y as the response variable. y 28.2 50.9 26.9 60.8 19.2 46.9 23.1 28.6 28.7 69.3 30.4 58.1 40.6 77.3 25.6 60.3 23.1 22.5 23.1 46 19.2 37.2 34.2 74.1 Find the correlation coefficient and report it accurate to three decimal places. 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...
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final grade, y 88.9 86.0 82.9 80.3 77.4 72.9 63.4 67.7 64.7 61.7 (a) Find the least-squares regression line treating the number of absences, x, as the explanatory variable and the final grade, y, as...
The following data represents the number of days absent and the final grade for a sample of college students in a general education course at a large state university. 0 1 2 3 4 5 6 7 8 9 No. of absences Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a) Which variable is the explanatory variable? b) Draw a scatter plot and describe your scatter plot (Direction, Strength, Form). c) Compute the correlation coefficient d)...
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