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The stock market Some people think that the behavior of the stock market in January predicts its behavior for the rest of the year. Take the explanatory variable x to be the percent change in a stock market index in January and the response variable y to be the change in the index for the entire year. We expect a positive correlation between x and y because the change during January contributes to the full year’s change. Calculation from data for an 18-year period gives x = X=1.75%sx=5.36%y=9.07%sy=15.35%r=0.596

(a) Find the equation of the least-squares line for predicting full-year change from January change. Show your work.

(b) The mean change in January is x=1.75%. Use your regression line to predict the change in the index in a year in which the index rises1.75% in January. Why could you have given this result (up to roundoff error) without doing the calculation?

Short Answer

Expert verified

(a) The equation of the least squares line is YÁåž=6.083+1.707X

(b) We can use a regression line to predict the response YÁåžfor a specific value of the explanatory variable X. Since we know the values of X&Y, we need not to do calculations again.

Step by step solution

01

Part (a) Step 1: Given Information 

Consider the stock market: "percent change in a stock market index in January (X)will assist explain "percent change in a stock market index for the entire year (Y)in this situation. As a result, the explanatory variable is "percent change in a stock market index in January (X), and the response variable is "percent change in a stock market index for the entire year (Y).

02

Part (a) Step 2: Explanation

The following shows the correlation between the percent change in a stock market index over the course of the year and the percent change in a stock market index in January:

r=0.596

The least-squares regression line is

YÁåž=a+bX

where

slope

localid="1649409442067" b=rSrSx

and Y intercept

a=Y-bX

The slope of the least-squares regression line of percent change in a stock market index during the course of the year on percent change in a stock market index in January is

localid="1650002928470" b=rSrSxb=0.596×15.355.36=1.707

We use the fact that the least-squares line passes through (X,Y)to find the intercept, :

localid="1650002934125" a=Y-bX=9.07−1.707×1.75=6.083

So the equation of the least-squares line is:

YÁåž=6.083+1.707X

03

Part (b) Step 1:  Given Information

Given in the question that the mean change in January is X=1.75%.We have to predict the change in the index in a year in which the index rises 1.75%in January

04

Part (b) Step 2: Explanation 

According to the information, the least-squares line passes through :

X,Y:

Y=a+bX

Since

X=X

YÁåž=Y

Therefore

YÁåž=9.07%

We can use a regression line to predict the response for a YÁåžspecific value of the explanatory variable X. Since we know the values of ,X&Ywe need not to do calculations again.

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