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, SSR or
SSE?
Which is the coefficient of determination? R or
r-squared?
In general, what is lowest possible value for r-squared?
In general, what is the lowest possible value for r?
I can only answer 1 question at a time but I am solving 2 questions here.
INTERCEPT(known_y's, known_x's)
SLOPE(known_y's, known_x's)
Hence, we place Y values first and then x values in the intercept() and SLOPE() functions.
CORREL(array1, array2)
Hence, you can place any of of x or y at the first and then the other. It does not matter.
Please do rate me and mention doubts, if any, in the comments section.
For INTERCEPT() and SLOPE() functions, do we place x values or y values first in the...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
Given are five observations for two variables, x and y. 4 8 12 16 18 yi 58 51 48 14 15 The estimated regression equation for these data is y= 76.77 - 3.41x a. Compute SSE, SST, and SSR (to 2 SSE decimals) (to 2 SST decimals) (to 2 SSR decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit (to 3 decimals) % of the variability in y has been explained by the estimated regression...
b. Calculate the slope and y-intercept for the regression equation, SST, and Partition the SST into the SSR and the SSE. (Round to three decimal places as needed.) c. Provide an interpretation for the value of the slope. Suppose an environmental agency would like to investigate the relationship between the engine size of sedans and the miles per gallon (MPG) they get. The accompanying table shows the engine size in cubic liters and rated miles per gallon for a selection...
please do the new question, the completed one is an example of the steps it asks for. Following are age and price data for 8 randomly selected ambulances between 1 and 6 years old. Here, x denotes age, in years, and y denotes price, in hundreds of dollars. Use the information to do parts (a) through (c) 2 4 250 420 265 350 260 360 310 305 2x-32. Zy-2520. Xxy-9255, andx2 a. Compute SST, SSR, and SSE, using the formulas,...
Question 7 (1 point) Suppose we have the following values for variables X (independent) and Y (dependent) IX-X)(y-7) --630 Z(X - x)2 = 168 SSE = 1225 SSR = 2362.5 What is the value of R-Square (round to four decimal places)? Question 8 (1 point) Suppose we have the following values for variables X (independent) and Y (dependent) EIX-XIY-7)=-630 IIX Xj2 = 168 SSE = 1225 SSR = 2362.5 What is the value of the slope coefficient for the simple...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 81 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 107 103 101 119 8 9 10 10 11 13 123 127 136 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = (b) Compute the coefficient of determination 2. (Round your answer to three decimal places.) 12...
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)?
58. The equation of a regression line is Y = 20 +5X where X = hours studied and Y = exam score. Interpret the slope. a) As study time increases by 5 hours, exam score increases by 20 points on average. b) As study time increases by 1 hour exam score increases by 5 points on average. c) As study time increases by 5 hour exam score increases by 1 point on average. d) We expect a student who does...
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ŷ = 80 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 1 80 2 3 97 3 4 97 4 4 102 5 6 103 6 8 101 7 10 119 8 10 118 9 11 127 10 13 136 (a) Compute SST, SSR, and SSE. SST= SSR= SSE= (b) Compute...