Question

Question 1: The following information is obtained from a sample data set. n = 20 ,...

Question 1:

The following information is obtained from a sample data set.

n = 20 ,   ∑​x = 130 ,   ∑​y = 960 ,   ∑​x y = 4908 ,   ∑​x 2 = 882

Find the estimated regression line.

  y ^ = Enter you answer to the field 1 in accordance to the question statement + ( Enter you answer to the field 2 in accordance to the question statement ) x

Question 2:

A sample data set produced the following information.

n = 15 , ∑ x = 100 , ∑ y = 340 ,   ∑ x y = 3470 ,   ∑ x 2 = 1260 ,   ∑ y 2 = 25774

Calculate the linear correlation coefficient r .

Round your answer to two decimal places.

r = Enter your answer in accordance to the question statement

Homework Answers

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
The following information is obtained from a sample data set. n=12, ​∑​x=66, ​∑​y=588 , ​∑​xy=2094, ​∑​x2=401...
The following information is obtained from a sample data set. n=12, ​∑​x=66, ​∑​y=588 , ​∑​xy=2094, ​∑​x2=401 Find the estimated regression line. y^= Enter you answer to the field 1 in accordance to the question statement +( Enter you answer to the field 2 in accordance to the question statement )x
A sample data set produced the following information. n=15, ∑x=120, ∑y=210, ∑xy=3570, ∑x2=1310, ∑y2=25924 Calculate the...
A sample data set produced the following information. n=15, ∑x=120, ∑y=210, ∑xy=3570, ∑x2=1310, ∑y2=25924 Calculate the linear correlation coefficient r. Round your answer to two decimal places. r=
Run a regression analysis on the following bivariate set of data with y as the response...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 48 41.8 39.2 67.4 34.7 68.4 42.9 50.2 49 50.6 45.6 57 58.7 29.7 40.5 68.4 47.4 34.7 45.7 50.9 38.9 47.7 40.9 53.6 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage...
Run a regression analysis on the following bivariate set of data with y as the response...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 81.1 86 77.5 60.4 92.7 126.5 104 132.5 85 53.1 64.3 95.5 64.6 31.7 39.7 5.7 82.3 121.3 82.4 98.2 29.2 -50.2 34.2 -1 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage...
Run a regression analysis on the following bivariate set of data with y as the response...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 51.3 17.4 60.8 88.6 37.4 32.9 44.6 53.4 53.7 53.6 52.2 41.5 32.7 28.6 62.4 84.7 47.4 35.7 39.8 33.7 62.1 123 62 83.7 Find the correlation coefficient and report it accurate to three decimal places. r = _______ What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a...
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)
Suppose the following two estimated regression equations are obtained from monthly data on demand (y) of...
Suppose the following two estimated regression equations are obtained from monthly data on demand (y) of a product and its price (x), over n=11 months, in appropriate units: (a) 3x + 4y = 6 and (b) x + 3y = 3. One of these regression equations is obtained by regressing y on x and the other by regressing x on y. (i) Calculate the correlation coefficient r between demand and price. (ii) Calculate the absolute value of the estimated regression...
Construct a scattergram for each data set. Then calculate r and r2 for each data set....
Construct a scattergram for each data set. Then calculate r and r2 for each data set. Interpret their values. Complete parts a through d. a. x −1 0 1 2 3 y −3 0 1 4 5 Calculate r. r=. 9853.(Round to four decimal places as​ needed.) Calculate r2. r2=0.9709 ​(Round to four decimal places as​ needed.) Interpret r. Choose the correct answer below. A. There is not enough information to answer this question. B.There is a very strong negative...
1. Here is a bivariate data set. x y 49.7 34.8 43.9 30.9 48 30 46.3...
1. Here is a bivariate data set. x y 49.7 34.8 43.9 30.9 48 30 46.3 32 46.9 30.3 46.2 34.6 Find the correlation coefficient and report it accurate to three decimal places. r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. r² = % 2. You run a regression analysis on a bivariate set of data (n=71). With...
The recommended air pressure in a basketball is between7and9pounds per square inch (psi). When dropped from...
The recommended air pressure in a basketball is between7and9pounds per square inch (psi). When dropped from a height of6feet, a properly inflated basketball should bounce upward between52and56inches (http://www.bestsoccerbuys.com/balls-basketball.html). The basketball coach at a local high school purchased10new basketballs for the upcoming season, inflated the balls to pressures between7and9psi, and performed the bounce test mentioned above. The data obtained are given in the following table. Pressure (psi) 8.1 8.0 8.4 7.2 8.7 7.5 8.7 7.5 8.1 8.5 Bounce height (inches) 54.1...