The typical household income and typical home price for a sample of 18 cities follows (see attachment - data are in thousands of dollars).

PART A:
a. Use these data to develop an estimated regression equation that could be used to estimate the typical home price for a city given the typical household income.
b. Compute r2 [r squared]. Would you feel comfortable using this estimated regression equation to estimate the typical home price for a city?
c. Estimate the typical home price for a city that has a typical household income of $95,000.00.

PART B:
Refer to the above exercise, where an estimated regression equation was developed relating typical household income and typical home price. Test whether the typical household income for a city and the typical home price are related at the .01 level of significance.

The typical household income and typical home price for a sample of 18 cities follows (see attachment - data are in thousands of dollars).

PART A:
a. Use these data to develop an estimated regression equation that could be used to estimate the typical home price for a city given the typical household income.
b. Compute r2 [r squared]. Would you feel comfortable using this estimated regression equation to estimate the typical home price for a city?
c. Estimate the typical home price for a city that has a typical household income of $95,000.00.

PART B:
Refer to the above exercise, where an estimated regression equation was developed relating typical household income and typical home price. Test whether the typical household income for a city and the typical home price are related at the .01 level of significance.

Given are five observations for two variables x and y. (see attached for details)
x y
1 3
2 7
3 5
4 11
5 14
A. Develop a scatter diagram for this data.
B. What does the scatter diagram in part A indicate about the relationship between the two variables?
C. Try to aproximate the relationship between x and y by drawin

Given are five observations collected in a regression study on two variables.
View attachment for table.
a. Develop a scatter diagram for these data
b. Develop the estimatedregressionequation for these data
c. Use the estimatedregressionequation to predict the value of y when x = 4.

OLLU has the following data for the studentsÃ¢?? enrollment from year 2005 to 2009. What is the estimated enrollment for 2010 by utilizing a liner regressionequation?
year actual enrollmemt
2005 2533
2006 2612
2007 2656
2008 2689
2009 2701

1. Compute the Pearson correlation for the following data.
X Y
7 3
3 1
6 5
4 4
5 2
2. Find the regressionequation for predicting X from Y for the following set of scores.
X Y
0 9
1 7
2 11

A regressionequation was estimated for result X=20 to 50 and Y= 200 to 500. Using the regression result
Y=4X+150
a. predict Y if X is 51
b. predict Y if X is 80
c. Which of the above results might be suspect, and why?

For the multiple regressionequation y = 100 + 20x1 + 3x2 + 120x3:
a. Identify the y-intercept and partial regression coefficients.
b. If x1 = 12, x2 = 5, and x3 = 10, what is the estimated value of y?
c. If x3 were to increase by 4, what change would be necessary in x2 in order for the estimated value of y to remain uncha

For the multiple regressionequation y-hat = 100 + 20x1 - 3x2 + 120x3
a. identify the y-intercept partial regression coefficients
b. if x1 = 12, x2 = 5, and x3 = 10, what is the estimated value of y?
c. if x3 were to increase by 4, what change would be necessary in x2 in order for the estimated value of y to remain unchange

The following table gives the annual return, the safety rating (0= riskiest, 10= safer), and the annual expense ratio for 20 foreign funds (Mutual Funds, March 2000).
A) Develop an estimatedregressionequation relating the annual return to the safety rationing and the annual expense ratio.
B) Estimate the annual return fo

A sample of 30 computer hardware companies taken from Stock Investor Pro provided the data in the Excel sheet. This data included the price per share, book value per share, and the return on equity per share for each.
1. Develop an estimatedregressionequation that can be used to predict the price per share given the book va