Suppose you want to test whether consumption and income are linearly related using the estimates from your regression model. The standard error of the slope is 0.148. Set �=0.01. What is your conclusion? Group of answer choices Fail to reject the null hypothesis because 5.07>3.707. Reject the null hypothesis because 4.22>4.032. Reject the null hypothesis because 4.22>3.707. Reject the null hypothesis because -2.53>-4.032. thanks

Suppose you want to test whether consumption and income are linearly related using the estimates from your regression model. The standard error of the slope is 0.148. Set �=0.01. What is your conclusion? Group of answer choices Fail to reject the null hypothesis because 5.07>3.707. Reject the null hypothesis because 4.22>4.032. Reject the null hypothesis because 4.22>3.707. Reject the null hypothesis because -2.53>-4.032. thanks

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Consider the following data of Regression Model where YACTUAL is your actual observation and YPREDICTION is the model prediction value. You have to use the data and Compute the value of the following errors: Mean Absolute Error, Mean Relative Error and Prediction (X) when X ≥ 30% Value of R2 YACTUAL 12.6 9.8 9.6 9.9 11.5 11.2 12.3 9.5 9.7 12.4 YPREDICTED 12.8 9.1 9.7 9.9 11.3 12.1 12.0 9.8 9.6 12.2
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