Consider the following data: and What is the sample regression equation?

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orchestra answered 11 months ago

Determine the regression equation (write the regression equation) of the following data, where Y is the...

Determine the regression equation (write the regression equation) of the following data, where Y is the dependant variable and X is the predictor: X Y 5 85 4 103 6 70 5 82 5 89 5 98 6 66 6 95 2 169 7 70 7 48 b) Interpret the regression coefficients. c) Graph the regression line. d) Use the regression equation to predict Y for X=3. e) Compute the coefficient of determination. f) Interpret the coefficient of determination. g)...

The data for a sample of 100 gave the regression line equation for age and blood...

The data for a sample of 100 gave the regression line equation for age and blood pressure is Ÿ = 100 + 0.96X, and the standard error is 5. The 95% confidence interval of the prediction of the blood pressure of a person who is 43 years old showed that the upper confidence limit is : Select one: A. 155.08 B. 159.08 C. 149.09 D. 151.08

. Draw a plot of the following set of data and determine the linear regression equation. What is...

. Draw a plot of the following set of data and determine the linear regression equation. What is the value of the slope and intercept? What is r and R2? Are there any outlier values? (15 points) Age (X): 20 25 36 29 41 35 56 43 66 50 59 67 51 75 75 81 54 66 52 48 Total Body Water (Y): 61 57 52 59 53 58 48 51 37 44 42 41 48 38 41 39 47 42 51 50

ECONOMETRICS 2 1) Consider the following estimated regression equation where the sample size is 78 (quarterly...

ECONOMETRICS 2 1) Consider the following estimated regression equation where the sample size is 78 (quarterly data): IND - OUTPUT (dependent variable): Industrial Production Index. PRICE (independent variable): Industrial Price Index. LOGIND-OUTPUT= -76.5- 0.39 LOG(PRICE) t statistics: (-1.35) (-0.72) a) Interpret and test the coefficient of LOG(PRICE)? Assume that an additional regression was run as: LOGIND-OUTPUT= -33.5 +0.46 LOGPRICE+0.009 T t statistics: (-4.63) (2.78) (3.55) where T is a time trend. b) Interpret the coefficient of T...

In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^...

In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^ = 12.5 + 2.4x1 − 1.0x2 with se = 5.41. Also, when x1 equals 16 and x2 equals 5, se(yˆ0)se(y^0) = 2.60. [You may find it useful to reference the t table.] a. Construct the 95% confidence interval for E(y) if x1 equals 16 and x2 equals 5. (Round intermediate calculations to at least 4 decimal places, "tα/2,df" value to 3 decimal places, and...

Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation...

Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA=0.67+0.6551(High School GPA).Estimated College GPA=0.67+0.6551(High School GPA). Compute the sum of squared errors (SSESSE) for the model. Round your answer to four decimal places. GPAs College GPA High School GPA 2.022.02 3.293.29 2.812.81 3.113.11 2.532.53 3.303.30 3.763.76 4.974.97 3.083.08 3.003.00 3.963.96 3.873.87

Use the following data set to calculate the regression equation. What would you estimate the happiness...

Use the following data set to calculate the regression equation. What would you estimate the happiness rating for someone who has 5 children to be? Number of children Happiness Rating 2 1 5 5 8 6 4 3 5 5 6 7 1 2 6 5 3 2

Question 3 Determine the equation of the regression line for the following data, and compute the...

Question 3 Determine the equation of the regression line for the following data, and compute the residuals. x 15 9 20 11 4 y 48 35 55 44 18 Do not round the intermediate values. (Round your answers to 3 decimal places.) Do not round the intermediate values. (Round your answers to 3 decimal places.) x y Residuals 15 48 9 35 20 55 11 44 4 18

For the data and sample regression equation shown below, complete parts (a) through (c). x 0...

For the data and sample regression equation shown below, complete parts (a) through (c). x 0 3 5 5 5 ModifyingAbove y with caret equals 4.500 minus 0.917 xy=4.500−0.917x y 4 3 0 −2 1 a. Determine the standard error of the estimate. b. Construct a residual plot. c. Construct a normal probability plot of the residuals. LOADING... Click the icon to view the table of normal scores.

Consider the following regression equation for salaries. Female and Male are dummy variables. The value of...

Consider the following regression equation for salaries. Female and Male are dummy variables. The value of Female = 1 for a female and 0 otherwise. The value of Male is 1 for Male and 0 otherwise. ^Sal = 0.88 - 3.58 Female+ 0.25 Age + 1.12 Male a) Describe in words the classical assumption violated by this equation. b) What change would you make to the equation to correct the problem mentioned in a)

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