Solution:
The correct answer is d) All of the above
Explanation:
Let's first consider the equation:
The predicted values of y are:
Now let's consider the second option:
The predicted values of y are:
Now let's consider the third option:
The predicted values of y are:
Since all the equations have same SSE, therefore, the option d) All of the above is correct
8. If the data set shown below were used to fit the following simple regression model,...
Suppose we fit the simple linear regression model (with the usual assumptions) Y = Bo+B1X+ € and get the estimated regression model ♡ = bo+bix What aspect or characteristic of the distribution of Y does o estimate? the value of Y for a given value of X the total variability in Y that is explained by X the population mean number of Y values above the mean of Y when X = 0 the increase in the mean of Y...
2. Suppose we observe the pairs (X, Y), i-1, , n and fit the simple linear regression (SLR) model Consider the test H0 : β,-0 vs. Ha : Aメ0. (a) What is the full model? Write the appropriate matrices Y and X. (b) What is the full model SSE? (c) What is the reduced model? Write the appropriate matrix XR. (d) What is the reduced model SSE? (e) Simplify the F statistics of the ANOVA test of Ho B10 vs....
Problem 7. Consider the simple linear regression model Y1 = Bo + BiX; +€; for i=1,2,...,n where the errors Eį are uncorrelated, have mean zero and common variance Varſei] = 02. Suppose that the Xį are in centimeters and we want to write the model in inches. If one centimeter = c inch with c known, we can write the above model as Yį = y +71 Zitki where Zi is Xi converted to inches. Can you obtain the least-squared...
6. This problem considers the simple linear regression model, that is, a model with a single covariate r that has a linear relationship with a response y. This simple linear regression model is y = Bo + Bix +, where Bo and Bi are unknown constants, and a random error has normal distribution with mean 0 and unknown variance o' The covariate a is often controlled by data analyst and measured with negligible error, while y is a random variable....
6. Consider the sample data below for fitting the regression model y = Bo + Bix+e LY | 12 | 14 | 9 | 14 | 16 | 14 | 33 | 38 | 44 TX 2 2 3 4 5 5 6 7 9 a. Compute the pure error sum of squares for performing a lack of fit test. b. How many degrees of freedom are there for pure error ? c. Compute 2x2
Question 5. Given sample data (x, y), and sample size n. We fit the simple regression model: and estimate the least square estimators (a) Suppose A,-1, ß,-2, and x-1. Compute у. b) Suppose S and sry 0.5, compute the R2. Question 5. Given sample data (x, y), and sample size n. We fit the simple regression model: and estimate the least square estimators (a) Suppose A,-1, ß,-2, and x-1. Compute у. b) Suppose S and sry 0.5, compute the R2.
a. Fit a simple linear regression model relating number (y) of software millionaire birthdays in a decade to total number (x) of births in this country. Give the least squares prediction equation. b. Practically interpret the estimated y-intercept and slope of the model, part a. c. Predict the number of software millionaire birthdays that will occur in a decade where the total number of births in this country is 26 million. d. Fit a simple linear regression model relating number...
Consider the multiple regression model shown next between the dependent variable Y and four independent variables X1, X2, X3, and X4, which result in the following function: Y = 33 + 8X1 – 6X2 + 16X3 + 18X4 For this multiple regression model, there were 35 observations: SSR= 1,400 and SSE = 600. Assume a 0.01 significance level. What is the predictions for Y if: X1 = 1, X2 = 2, X3 = 3, X4 = 0
Exercise 2. Consider the iris data set. (a) Fit a linear regression model for Sepal.Width using Sepal.Length and Species as predictors. Recall that Species is a categorical variable with 3 levels (setosa versicolor, and virginica). Use summary) to print the results. What is the base- line level for Species in the model? (b) Fit a linear regression model for Sepal.Width using Sepal.Length, Species, and the interaction between Sepal.Length and Species as predictors. Use summary ) to print the results. (c)...
2) Suppose the regression model y = B0 + B1x1 + B2x2 + B3x3 + B4x1x2 + B5x1x3 + B6x2x3 was fit to n = 27 data points with SSE = 2000.0. a) Set up the null and alternative hypotheses for testing whether the interaction terms are significant. b) Give the reduced model necessary to test the significance of the interaction terms. c) The reduced model resulted in SSE = 2800. Calculate the value of the test statistic appropriate for...