Question 7 (1 point) Suppose we have the following values for variables X (independent) and Y...
Suppose we have the following values for variables X (independent) and Y (dependent) _ _ Σ(X – X)(Y – Y) = -630 _ Σ(X – X)2 = 168 SSE = 1225 SSR = 2362.5 What is the value of the slope coefficient for the simple regression equation (round to two decimal places)?
Suppose we have the following values for variables X (independent) and Y (dependent) _ _ Σ(X – X)(Y – Y) = -630 _ Σ(X – X)2 = 168 SSE = 1225 SSR = 2362.5 If n = 8, what is the value of the standard error for the simple regression model (round to three decimals)?
For INTERCEPT() and SLOPE() functions, do we place x values or y values first in the parentheses? For CORREL() function, do we place x values or y values first in the parentheses? What is the difference in meaning between y and y_hat? What does the regression model minimize? SSE or SSR or SST? Variation in Y = Time explained by X = Miles is SST, SSR or SSE? Variation in Y = Time not explained by X = Miles is SST,...
Suppose we have the following values for the linear function relating X and Y (where Y is the dependent variable and X is the independent variable: X Y 0 45 1 25 2 5 What would the value of R-Square be for this straight line? Question 4 options: 1 -1 0 25
A sample of 7 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=26, SST=40 Using a 0.05 level of significance, we conclude that there is a significant linear relationship between x and y. (Enter 1 if the conclusion is correct. Enter 0 if the conclusion is wrong.)
Problem 7 (1pt) Suppose X and Y are independent normal random variables with the following characteristics. X represents the body temperature (in Fahrenheit) of someone with strep throat and Y represents the temperature (in Fahrenheit) of someone with the flu: Ug = 101,0x = 1.1, My = 100,0y = 0.9 7. Find the probability that someone with strep will have a body temperature a half a degree or warmer than someone with the flu. Show complete, clear, and accurate supporting...
Suppose we have the following values for a dependent variable, Y, and three independent variables, X1, X2, and X3. The variable X3 is a dummy variable where 1 = male and 2 = female: X1 X2 X3 Y 0 40 1 30 0 50 0 10 2 20 0 40 2 50 1 50 4 90 0 60 4 60 0 70 4 70 1 80 4 40 1 90 6 40 0 70 6 50 1 90 8 80 ...
A very small dataset with two variables is as following x12 3 4 5 10 Suppose the regression line is y-a+bx a). Find the value of b. b). Find the value of a. c). From computer, we find, SSR-4.9, SSE-5.1. Based on these, find F-value. d). Can we conclude that there is significant relationship between y and x at significance level 0.10? A very small dataset with two variables is as following x12 3 4 5 10 Suppose the regression...
Given are five observations for two variables, x and y. xi Yi 1 4 2 7 3 8 4 5 11 15 The estimated regression equation for these data is y = 1.2 + 2.6x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSD = 2(y - ý) SST = 2(y; - 5)2 SSR = 2() - 12 SSE SST SSR b. Compute the coefficient of determination 2 (to 3 decimals). Does this least squares...
Consider the following data for a dependent variable y and two independent variables, 21 and 22; for these data SST = 15,196.1, and SSR = 14,180.8. Round your answers to three decimal places. a. Compute R2 b. Compute R2 c. Does the estimated regression equation explain a large amount of the variability in the data? - Select your answer -