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Please help. Show work so I can understand how to do it
Ten pairs of data...
Use the given data to find the best predicted value of the response variable. Eight pairs...
Use the given data to find the best predicted value of the response variable. Eight pairs of data yield r = 0.708 and the regression equation y = 55.8 + 2.79x. Also y = 71.125. What is the best predicted value of y for x = 5.7?
Six pairs of data yield r = 0.444 and the regression equation y hat = 5x...
Six pairs of data yield r = 0.444 and the regression equation y hat = 5x + 2. Also, y bar = 18.3. What is the best predicted value of y for x = 5?
Show work please, Thanks! Question 3: The regression line equation for a set of data is...
Show work please, Thanks!
Question 3: The regression line equation for a set of data is given by y-hat = 2.3x+5 with n = 10. The mean value of y is 10.1 for the data set. Use a = 0.05. A. If the linear correlation coefficient is r=0.521, what is the best predicted y-value for x = 5? Justify for your answer. B. If the linear correlation coefficient is r = 0.972, what is the best predicted y-value for x...
The answer key says 12.75, but Im not sure why? I believe it is y =...
The answer key says 12.75, but Im not sure why? I believe it
is y = 3(4.3) which is 12.9. Unless the key is wrong? Thank
you.
29) Use the given data to find the best predicted value of the response variable. 29) Four pairs of data yield r = 0.942 and the regression equation y = 3x. Also, y = 12.75. What is the best predicted value of y for x = 4.3?
Question 7 Solve the problem. Consider the data set shown below. Find the estimate of the...
Question 7 Solve the problem. Consider the data set shown below. Find the estimate of the y-intercept of the v 03 23 8 10 11 x -2 0 2 4 6 8 10 1.5 0.94643 0 1.49045 0.9003 n below. Find the estimate of the y-intercept of the least squares regression line 10 11 8 10 tion will save this response. Provide an appropriate response. In an area of the Midwest records were kept on the relationship between the rain...
Please show all work, step by step, so I can understand what to do. Ten trials...
Please show all work, step by step, so I can understand what to do. Ten trials are conducted in a Bernoulli process in which the probability of success in a given trial is 0.3. If x = the number of successes, determine the following: a. E(x) b. σx c. P(x = 5) d. P(4 ≤ x ≤ 8) e. P(x > 4)
Please do work by hand (not in R) and show enough work so I can understand...
Please do work by hand (not in R) and show enough work so I can
understand how to do it myself. Thanks.
1. The data in Table 3.3 are a subset of the data obtained by Kaneto, Kosaka, and Nakao (1967). The experiment investigated the effect of vagal nerve stimulation on insulin secretion. The subjects were mongrel dogs with varying body weights. Table 3.3 gives the amount of immunoreactive insulin in pancreatic venous plasma just before stimulation of the left...
3.) Best predicted job performace rating, explain how you found the job performance rating. 4. Contruct...
3.) Best predicted job performace rating, explain how you
found the job performance rating.
4. Contruct a 98% confidence interval for the mean amount of
juice in all such bottles.
Use the given data to find the best predicted value of the response variable. Points: 5 3) The regression equation relating attitude rating (x) and job performance rating (y) for the employees of a company is y = 11.7 +1.02x. Ten pairs of data were used to obtain the equation....
PLEASE SHOW ME HOW TO DO IT ON TI84 OR SHOW WORK You run a regression...
PLEASE SHOW ME HOW TO DO IT ON TI84
OR SHOW WORK
You run a regression analysis on a bivariate set of data (n = 108). With z = 27.5 and у = 67.4, you obtain the regression equation y 0.488z 33.947 with a correlation coefficient of r = 0.076. You want to predict what value (on average) for the response variable will be obtained from a value of 150 as the explanatory variable. What is the predicted response value?...
Please show all the work so I can understand Thank you!!! Simplify the following 1. cos(–3x)...
Please show all the work so I can understand Thank
you!!!
Simplify the following 1. cos(–3x) cos(-x) – cos (6 – 3x) sin(-x) cos (5 – ) - 1 2. 2 cos 3. sin12º – sin8°
Show work please, Thanks!
Question 3: The regression line equation for a set of data is given by y-hat = 2.3x+5 with n = 10. The mean value of y is 10.1 for the data set. Use a = 0.05. A. If the linear correlation coefficient is r=0.521, what is the best predicted y-value for x = 5? Justify for your answer. B. If the linear correlation coefficient is r = 0.972, what is the best predicted y-value for x...
The answer key says 12.75, but Im not sure why? I believe it
is y = 3(4.3) which is 12.9. Unless the key is wrong? Thank
you.
29) Use the given data to find the best predicted value of the response variable. 29) Four pairs of data yield r = 0.942 and the regression equation y = 3x. Also, y = 12.75. What is the best predicted value of y for x = 4.3?
Question 7 Solve the problem. Consider the data set shown below. Find the estimate of the y-intercept of the v 03 23 8 10 11 x -2 0 2 4 6 8 10 1.5 0.94643 0 1.49045 0.9003 n below. Find the estimate of the y-intercept of the least squares regression line 10 11 8 10 tion will save this response. Provide an appropriate response. In an area of the Midwest records were kept on the relationship between the rain...
Please do work by hand (not in R) and show enough work so I can
understand how to do it myself. Thanks.
1. The data in Table 3.3 are a subset of the data obtained by Kaneto, Kosaka, and Nakao (1967). The experiment investigated the effect of vagal nerve stimulation on insulin secretion. The subjects were mongrel dogs with varying body weights. Table 3.3 gives the amount of immunoreactive insulin in pancreatic venous plasma just before stimulation of the left...
3.) Best predicted job performace rating, explain how you
found the job performance rating.
4. Contruct a 98% confidence interval for the mean amount of
juice in all such bottles.
Use the given data to find the best predicted value of the response variable. Points: 5 3) The regression equation relating attitude rating (x) and job performance rating (y) for the employees of a company is y = 11.7 +1.02x. Ten pairs of data were used to obtain the equation....
PLEASE SHOW ME HOW TO DO IT ON TI84
OR SHOW WORK
You run a regression analysis on a bivariate set of data (n = 108). With z = 27.5 and у = 67.4, you obtain the regression equation y 0.488z 33.947 with a correlation coefficient of r = 0.076. You want to predict what value (on average) for the response variable will be obtained from a value of 150 as the explanatory variable. What is the predicted response value?...
Please show all the work so I can understand Thank
you!!!
Simplify the following 1. cos(–3x) cos(-x) – cos (6 – 3x) sin(-x) cos (5 – ) - 1 2. 2 cos 3. sin12º – sin8°
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