a)
yhat=165.2+(-7.3)x
b)
SSE =548.843~ 549
SST =4890
R2 =0.89
c)
se =8.28
d)
sb1=0.91
rejection region: option A: t<-2.3060 or t>2.3060
t =-7.9547
since the test statsitic is in rejetion reigon ; reject...model is significant...knowing x is useful
The data shown below for the dependent variable, y, and the independent variable, x, have been...
The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. x y 11 100 13 80 15 80 12 90 20 60 17 60 15 70 13 90 15 90 17 80 a. Complete the linear regression equation below Round to one decimal place as needed.) b. Calculate the sum of the squared residuals. SSE-L (Round to the nearest whole number as needed) What is the total sum of...
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
For the data set below (a) Determine the least-squares regression line. (b) Compute the sum of the squared residuals for the least-squares regression line. x 30 40 50 60 70 y 80 73 64 48 43 (a) Determine the least-squares regression line. ỳ-Ux + ] (Round to four decimal places as needed.) (b) The sum of the squared residuals is (Round to two decimal places as needed.)
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
The data shown below indicate the average tuition (in dollars) over a six-year period for private and public colleges in a region Complete parts a through below Us 001 where ne Year 1 2 3 4 5 6 Private 8,752 9,082 12.277 13,379 15 627 18,398 Public 2010 2.308 3,169 3,649 4,616 5,652 Conduct a simple linear regression analysis of these data in which the average tuition for private colleges is predicted by the average public college tuition Test the...
INDEPENDENT OR DEPENDENT ARE IN THE DROP DOWN BOXES. Degrees of Sum of The ANOVA summary table to the right is for a multiple regression model with two independent variables. Complete parts (a) through (e) Source Freedom Squares Regression Eror Total 15 17 70 160 230 Draw a conclusion. Choose the correct answer below o A. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is less than...
Te data shown below indicate the average tuition Cim doners) over a b year period tur private and Public colleges in a resion, use a=002 were needed Ar conduct a simple linear regression analysis of these data in which the average tuition for private colleges is predicted 44 te average public college tuition. Test using انا رانا The data shown below indicate the average tuition (in dollars) over a six-year period for private Year Private Public 1 8,752 2,010 2...
please solve using matlab 4. Nonlinear Regression Fit the below data with the following curve-fit equation y bi (ebr + 2 1.0000 1.5431 3.7622 10.0677 27.3082 Define a function of the sum of squared residuals (fSSR) as a function of the regression coefficients, b's. Minimize the fSSR function and determine the regression coefficients. Guess what would be the built-in math function to generate the original data? Plot the function in the existing figure with a smooth dashed line, calculate the...
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