Question

Five observations taken for two variables follow. xi 4 6 12 4 15 yi 50 50...

Five observations taken for two variables follow.

xi 4 6 12 4 15
yi 50 50 40 50

20

compute the sample correlation coefficient (to 3 decimals).


What can you conclude, based on your computation of the sample correlation coefficient?
There is a strong positive linear relationship

There is a moderate positive linear relationship

There is neither a positive nor a negative linear relationship

There is a strong negative linear relationship

There is a moderate negative linear relationship

Homework Answers

Answer #1

Solution :

X Y XY X^2 Y^2
4 50 200 16 2500
6 50 300 36 2500
12 40 480 144 1600
4 50 200 16 2500
15 20 300 225 400
n 5
sum(XY) 1480.00
sum(X) 41.00
sum(Y) 210.00
sum(X^2) 437.00
sum(Y^2) 9500.00
Numerator -1210.00
Denominator 1309.05
r -0.9243
r square 0.8544
Xbar(mean) 8.2000
Ybar(mean) 42.0000
SD(X) 4.4900
SD(Y) 11.6619
b -2.4008
a 61.6865

The sample correlation coefficient = r = -0.924

There is a strong negative linear relationship .

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
Data for two variables, x and y, follow. xi 22 24 25 28 41 yi 12...
Data for two variables, x and y, follow. xi 22 24 25 28 41 yi 12 23 31 36 69 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. y=-43.71+2.78x b. Compute the standardized residuals for these data (to 2 decimals). Enter negative value as negative number. xi yi Standardized Residual 22 12 24 23 -0.02 25 31 1.31 28 36 41 69 c. Compute the leverage values for these data...
Given are five observations for two variables, and . 1 2 3 4 5 4 6...
Given are five observations for two variables, and . 1 2 3 4 5 4 6 8 12 14 The estimated regression equation for these data is . ^y=1+2.6x a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE=Σ(yi-^yi) SST=Σ(yi-^yi) SSR=Σ(yi-^yi) b. Compute the coefficient of determination r^2 (to 3 decimals). Does this least squares line provide a good fit? c. Compute the sample correlation coefficient (to 4 decimals)
Given are five observations for two variables, x and y . xi 1 2 3 4...
Given are five observations for two variables, x and y . xi 1 2 3 4 5 yi 53 58 47 21 11 Use the estimated regression equation is y-hat = 78.01 - 3.08x A.) Compute the mean square error using equation. s^2 = MSE = SSE / n -2 [     ]   (to 2 decimals) B.) Compute the standard error of the estimate using equation s = sqrtMSE = sqrt SSE / n - 2 [      ] (to 2 decimals)...
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 7 6 12 15 The estimated regression equation is ? = 0.7 + 2.7x. Compute the mean square error using the following equation (to 3 decimals). Compute the standard error of the estimate using the following equation (to 3 decimals). Compute the estimated standard deviation b1 using the following equation (to 3 decimals). Use the t test to test the following hypotheses...
Given are five observations for two variables, x and y . xi 1 2 3 4...
Given are five observations for two variables, x and y . xi 1 2 3 4 5 yi 53 58 47 21 11 Use the estimated regression equation is y-hat = 78.01 - 3.08x A.) Compute the mean square error using equation. s^2 = MSE = SSE / n -2 [     ]   (to 2 decimals) B.) Compute the standard error of the estimate using equation s = sqrtMSE = sqrt SSE / n - 2 [      ] (to 2 decimals)...
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 2 8 6 11 13 a) Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. ŷ =? b) Use the estimated regression equation to predict the value of y when x = 2.
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 7 6 11 14 The estimated regression equation is  = 1.2 + 2.4 x. Compute the mean square error using the following equation (to 3 decimals). Compute the standard error of the estimate using the following equation (to 3 decimals). Compute the estimated standard deviation b 1 using the following equation (to 3 decimals). Use the t test to test the following hypotheses...
Data for two variables, x and y, follow. xi 1   2   3   4   5 yi 5  ...
Data for two variables, x and y, follow. xi 1   2   3   4   5 yi 5   9   7   13   16 (a) Develop the estimated regression equation for these data. (Round your numerical values to two decimal places.) ŷ = 2.20+2.60x Compute the studentized deleted residuals for these data. (Round your answers to two decimal places.) xi yi Studentized Deleted Residual 1 5 2 9 3 7 4 13 5 16
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 4 6 6 11 15 Which of the following scatter diagrams accurately represents the data? 1. 2. 3. What does the scatter diagram indicate about the relationship between the two variables? Develop the estimated regression equation by computing the the slope and the y intercept of the estimated regression line (to 1 decimal). ŷ = + x Use the estimated regression equation to...
Given are five observations collected in a regression study on two variables. xi 2 6 9...
Given are five observations collected in a regression study on two variables. xi 2 6 9 13 20 yi 9 18 8 25 21 A. Develop the estimated regression equation for these data. B.Use the estimated regression equation to predict the value of y when x = 13.