Question

Using the table below, calculate the variance of X, variance of Y, standard deviation of X,...

  1. Using the table below, calculate the variance of X, variance of Y, standard deviation of X, standard deviation of Y, the covariance between X and Y, the correlation coefficient between X and Y, and find the regression line assuming X is the independent variable (find the slope and the intercept). Show your work.

X

Y

X-Xbar

Y-Ybar

(X-Xbar)^2

(Y-Ybar)^2

(X-Xbar)*(Y-Ybar)

3

1

8

5

10

13

15

18

19

23

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
I have absolutely no idea where to start with this or even how to do it....
I have absolutely no idea where to start with this or even how to do it. The chart is what is throwing me off. I just need to know how to do this problem, how to start it, and how does the chart even relate to the problem? For variance, you need a mean I guess, how is that possible with the chart? Using the table below, calculate the variance of X, variance of Y, standard deviation of X, standard...
Refer to the data below. Suppose X is the independent variable and Y is the dependent...
Refer to the data below. Suppose X is the independent variable and Y is the dependent variable. Calculate the variance of X, variance of Y, standard deviation of X, standard deviation of Y, the covariance between X and Y, the correlation coefficient between X and Y, the slope of the regression line, the Y intercept of the regression, ESS, RSS, TSS, and R-square of the regression line. Predict the value of Y when X=25. Show your work by constructing the...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=15, summation (x_i-xbar)(y_i-ybar)=60,    xbar=3, ybar=10 Calculate the y-intercept (b_0) of the estimated regression equation. A sample of 11 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=22, summation (x_i-xbar)(y_i-ybar)=64,    xbar=3, ybar=10 Calculate the slope of the estimated regression equation. A sample of...
1. Given that the correlation between X and Y is -0.48, the mean and standard deviation...
1. Given that the correlation between X and Y is -0.48, the mean and standard deviation of X are 3.4 and 8.3, the mean and the standard deviation of Y is 6.5 and 7.2 respectively. Find the slope for the line of best fit. 2. Given that the correlation between X and Y is -0.48, the mean and standard deviation of X are 3.4 and 8.3, the mean and the standard deviation of Y is 6.5 and 7.2 respectively. Find...
# 6 The table below shows a measure of the “liberalness” of various American cities and...
# 6 The table below shows a measure of the “liberalness” of various American cities and a measure of the corresponding asking price per square foot for housing. Liberalness 1 0 6 7 10 15 16 19 22 25 26 30 Price 2 3 2 2 0 7 6 8 7 8 4 16 Enter the slope and y-intercept of the regression line, using liberalness as the independent variable. Round your answers to two decimal places. Slope:         Intercept: Enter the correlation...
Compute the regression equation (regression coefficient and constant) using data Given X: Mean = 14; Variance...
Compute the regression equation (regression coefficient and constant) using data Given X: Mean = 14; Variance = 8.667; Std Deviation = 2.944. Y: Mean = 13; Variance = 86.667; Std Deviation = 9.309. cross products = 18, 45, 4 , -9, 4, -3, 52. covariance = 15.857143 Correlation = 0.578608 X - u   Y - u       -3       -6   -3      -15    -2                -2         -1       9      2              2          3      ...
The table below gives the age and bone density for five randomly selected women. Using this...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 3535 4545...
The table below gives the age and bone density for five randomly selected women. Using this...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x , for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 50...
The table below gives the list price and the number of bids received for five randomly...
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make...
The table below gives the age and bone density for five randomly selected women. Using this...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 45 49...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT