A)
B) These two variables have strong linear relationship but it is in the negative direction which means with increasing Hours unsupervised, overall grade average is expected to decrease.
C) When X=1.5, the average grade is Y= -3.5*1.5 + 94 = 88.75
12. The following table gives the average number of hours 6 junior high students were left...
The following table gives the average number of hours 5 junior high students were left unsupervised each day and their corresponding overall grade averages Hours Unsupervised 1 2 24 Overall Grades 63 77 91 96 98 Table Copy Data Step 1 of 5: Calculate the sum of squared errors (SSE). Use the values bo-66.3334 and bl = 9.3333 for the calculations. Round your answer to three decimal places ev Next
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line. Ĵ = bo+byx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice,...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line.ỹ = bo + bx for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, 9 = bi + bx, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day, Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember,...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line. y = b0 + b1x. for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember,...
Question 10 - of 17 Step 6 of 6 00:43:59 The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, ġ = bo +bix for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line. 9 = b + b x. for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given....
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y =b0 + b1x for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in...
02:12:29 The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable ) is the number of hours unsupervised each night, and the second independent variable (+2) is the number of hours of video games each...