STAT TECH IN BUSINESS & ECON LL\AC
STAT TECH IN BUSINESS & ECON LL\AC
18th Edition
ISBN: 9781264720545
Author: Lind
Publisher: MCG
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Chapter 13, Problem 4SR
To determine

Test whether the correlation in the population is positive or not.

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The St. Lucian Government is interested in predicting the number of weekly riders on the public buses using the following variables: • • • • Price of bus trips per weekThe population in the cityThe monthly income of ridersAverage rate to park your personal vehicle Determine the multiple regression equation for the data.  What is the predicted value of the number of weekly riders if: price of bus trips per week = $24; population = $2,000,000; the monthly income of riders = $13,500; and average rate to park your personal vehicle = $150.  Interpret the coefficient of determination.
For a two-variable linear regression, if the sample correlation between the depen- dent and independent variables is –0.7, then the independent variable explains 49% of the variation in the dependent variable. Is this statement true? Explain your answer.
An independent researcher wants to study the factors which affected the prices set by a leading AC manufacturing company, Chester, across the country for the year 2017. She studies whether the effect on price, of the quantity demanded of ACs by the consumers, is significant or not. She selects a random sample of 200 retail outlets of the company and estimates the following regression equation: P-800.75-12.58/n(Q), (8.98) (7.64) where is the predicted value of price of the ACs and In(Q) is the logarithm of the quantity demanded of ACs by the consumers. Standard errors are given in parentheses. The 95% confidence interval for the slope coefficient, will be (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) Based on the calculated confidence interval, we can say that at the 5% significance level, we will the hypothesis that/, =0. fail to reject reject

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STAT TECH IN BUSINESS & ECON LL\AC

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Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY