Question

Hello! So I need to do this on simple linear regression. I also need to find...

Hello! So I need to do this on simple linear regression. I also need to find the coefficient of correlation, a, b0 and b1. Right now I only have the variables. which are:
personal cosumption expenses - 67,726.3
personal income- 64,275.9

Homework Answers

Answer #1

(a)

From the given data, the following Table is calculated:

X Y XY X2 Y2
67 64 4288 4489 4096
726.9 275.9 200386.12 527511.69 76120.81
Total = 793.3 339.9 204674.17 532000.69 80216.81

The intercept b0 is got as follows:

The slope b1 is got as follows:

So,

the Simple Linear Regression is given by:

y = 42.466 + 0.321 x

b0 = 42.466

b1 = 0.321

(b)
The correlation coefficient r is got as follows:

So,

r = 1

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose that your linear regression model includes a constant term, so that in the linear regression...
Suppose that your linear regression model includes a constant term, so that in the linear regression model Y = Xβ + ε The matrix of explanatory variables X can be partitioned as follows: X = [i X1]. The OLS estimator of β can thus be partitioned accordingly into b’ = [b0 b1’], where b0 is the OLS estimator of the constant term and b1 is the OLS estimator of the slope coefficients. a) Use partitioned regression to derive formulas for...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated...
In the simple linear regression model estimate Y = b0 + b1X A. Y - estimated average predicted value, X – predictor, Y-intercept (b1), slope (b0) B. Y - estimated average predicted value, X – predictor, Y-intercept (b0), slope (b1) C. X - estimated average predicted value, Y – predictor, Y-intercept (b1), slope (b0) D. X - estimated average predicted value, Y – predictor, Y-intercept (b0), slope (b1) The slope (b1) represents A. the estimated average change in Y per...
Hello, I am doing a linear regression on money spent monthly on beauty regiments and income....
Hello, I am doing a linear regression on money spent monthly on beauty regiments and income. My standard error is 82.1370708107448 and I do not know why it so high, what it means, how to explain or if something is wrong with my data. Please assist
Correlation and Regression True or False 3 Questions: K). In simple linear regression predicting Y from...
Correlation and Regression True or False 3 Questions: K). In simple linear regression predicting Y from X, the unstandardized coefficient of the X variable will always equal the Pearson r between X and Y. (Assume X and Y are not measured as z scores). L). In simple linear regression predicting Y from X, the standardized coefficient of the X variable will always equal the Pearson r between X and Y. M). In multiple regression predicting Y from X, the standardized...
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear...
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. II: If the slope of the regression line is negative, then the linear correlation coefficient less than one. III: The value of the linear correlation coefficient always lies between -1 and 1. IV: A linear correlation coefficient of 0.62 suggests a stronger linear relationship than a linear correlation coefficient...
CW 2 List 5 assumptions of the simple linear regression model. You have estimated the following...
CW 2 List 5 assumptions of the simple linear regression model. You have estimated the following equation using OLS: ŷ = 33.75 + 1.45 MALE where y is annual income in thousands and MALE is an indicator variable such that it is 1 for males and 0 for females. a) According to this model, what is the average income for females? b) According to this model, what is the average income for females? c) What does OLS stand for? How...
5. You have performed a simple linear regression model and ended up with Y(Y with a...
5. You have performed a simple linear regression model and ended up with Y(Y with a hat) = b0 + b1 x. (a) In your own words, describe clearly what the coefficient of determination, r^2, measures. (b) Suppose that your calculations produce r^2 = 0.215. As discussed in textbook, what can you conclude from this value? Furthermore, what can you say about the strength and direction of the relationship between the predictor and the response variable?
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation...
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation coefficient is zero, then there is no linear relationship between the two variables. B. A negative value for the correlation coefficient indicates that high values of the independent variable are correlated with low values of the dependent variable.   C. The slope coefficient for a simple linear regression model measures the expected change in the independent variable for a unit change in the dependent variable....
So, as we look at Linear Regression and correlation this week, please find provide an example...
So, as we look at Linear Regression and correlation this week, please find provide an example of how and when linear regression is used.
1. T/F and explain: In simple linear regression there can be only one independent and one...
1. T/F and explain: In simple linear regression there can be only one independent and one dependent variable, but in multiple regression there can be more than one independent variable and more than one dependent variable. .2. From regression, using you own words, define the Error Term. 3. Why is it important to check for correlation between independent variables in multiple regression? 4. Assume two of your right hand side variables are correlated. What techniques are available to you to...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT