From the given data
S.NO. | Hours(x) | Grade(y) | X^2 | Y^2 | XY |
1 | 4 | 52.6 | 16 | 2766.76 | 210.4 |
2 | 4 | 41.6 | 16 | 1730.56 | 166.4 |
3 | 4 | 41.6 | 16 | 1730.56 | 166.4 |
4 | 5 | 60 | 25 | 3600 | 300 |
5 | 9 | 64.6 | 81 | 4173.16 | 581.4 |
6 | 11 | 82.4 | 121 | 6789.76 | 906.4 |
7 | 14 | 90.6 | 196 | 8208.36 | 1268.4 |
8 | 14 | 78.6 | 196 | 6177.96 | 1100.4 |
9 | 18 | 90.2 | 324 | 8136.04 | 1623.6 |
10 | 18 | 93.2 | 324 | 8686.24 | 1677.6 |
Total: | 101 | 695.4 | 1315 | 51999.4 | 8001 |
The regression equation is y = 3.31X + 36.03
b) Given X = 12 hours
then Y-hat = 3.31(12) + 36.03
= 75.8
Question 9 < > 0/2 pts 399 Details 4 Run a regression analysis on the following...
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....
Х 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 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 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 4 < > B0/2 pts 5399 Details 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=a+bx a=21.937 b=-1.002 r2=0.9216 r=-0.96 Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)
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Question 10 > 0/2 pts 399 Details Suppose that a box contains 8 cameras and that 4 of them are defective. A sample of 2 cameras is selected at random. Define the random variable X as the number of defective cameras in the sample. Write the probability distribution for X. k P(X = k) What is the expected value of X? Question Help: D Post to forum Submit Question
pts Details Score on last try: 0 of 4 pts. See Details for more. > Next question Try a similar question You can retry this question below You run a regression analysis on a bivariate set of data (n = 105). With 2 = 63.3 and y = 27.1, you obtain the regression equation y = 2.0360 - 61.804 with a correlation coefficient of r = 0.92. You want to predict what value (on average) for the response variable will...
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Question 2 > 0/3 pts 399 Details You wish to test the following claim (H) at a significance level of a = 0.001. H.: = 84.9 H: > 84.9 You believe the population is normally distributed and you know the standard deviation is o = 10.4 You obtain a sample mean of M = 85.5 for a sample of size n = 74. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic...