Question

# 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 coefficient and the coefficient of determination for the data. Round your answers to two decimal places.

Correlation coefficient:      Coefficient of determination:

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
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+b1xy^=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 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 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+b1xy, 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...
Participant Stress Level (X) Test Score (Y) 1 18 6 2 3 17 3 12 9...
Participant Stress Level (X) Test Score (Y) 1 18 6 2 3 17 3 12 9 4 8 22 5 15 7 6 7 11 What's the slope of this data (round to two decimal places)? What's the Y intercept (round to two decimal places)? What's the predicted test score for a stress level of 10 (round to two decimal places)? What's the error of participant 5's score (round to two decimal places)? What's the standard error of the estimate?...
The table below gives the number of hours five randomly selected students spent studying and their...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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...
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 37 41...
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+b1xy^=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 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...
Data Set: x y 0 4 2 2 2 0 5 -2 6 1 1. Find...
Data Set: x y 0 4 2 2 2 0 5 -2 6 1 1. Find intercept b0 2. Find slope B1 3. Find the best fitted linear regression equation 4.Graph observations 5.Graph the linear equation on the same plot 6. Find the coefficient of Determination r² 7. Find the linear correlation coefficient r 8.Interpret r (the correlation between x & y)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT