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The average number of people in a family that attended college for various years is given in Table 12.29.

a. Using 鈥測ear鈥 as the independent variable and 鈥淣umber of Family Members Attending College鈥 as the dependent variable, draw a scatter plot of the data.

b. Calculate the least-squares line. Put the equation in the form of: \(\hat{y}=a+bx\)

c. Find the correlation coefficient. Is it significant?

Short Answer

Expert verified

Part a.

Part b. \(\hat{y}=88.7206-0.0432\)

Part c. \(r=-0.8533\);yes

Step by step solution

01

Part a. Step 1. Explanation

Just plot the 鈥測ear鈥 as x variable and 鈥淣umber of Family Members Attending College鈥 as y variable.

Number of family Members Attending College

02

Part b. Step 1. Explanation

\(\hat{y}=a+bx\)

Here \(b\) is the slope and \(a\) is the interception

X

1969

1973

1975

1979

1983

1988

1991

Y

4.0

3.6

3.2

3.0

3.0

3.0

2.9

\(b=\frac{n(\sum XY)-(\sum X)(\sum Y)}{n(\sum X^{2})-(\sum X)^{2}}\)

\(b=\frac{7(44922.7)-(13858)(22.7)}{7(27435270)-(13858)^{2}}\)

\(b=-0.043176\)

\(a=\frac{(\sum Y)-b(\sum X)}{n}\)

\(a=\frac{(22.7)-(-0.043176)(13858)}{7}\)

\(a=88.719\)

Therefore, least square line is \(\hat{y}=88.7206-0.0432x\)

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Most popular questions from this chapter

75. The following table consists of one student athlete's time (in minutes) to swim 2000 yards and the student's heart rate (beats per minute) after swimming on a random sample of 10 days:

Swim Time
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a. Enter the data into your calculator and make a scatter plot.
b. Use your calculator's regression function to find the equation of the least-squares regression line. Add this to your scatter plot from part a.
c. Explain in words what the slope and y-intercept of the regression line tell us.
d. How well does the regression line fit the data? Explain your response.
e. Which point has the largest residual? Explain what the residual means in context. Is this point an outlier? An influential point? Explain.

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Find the equation that expresses the total fee in terms of the number of days the payment is late.

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