Question

1) A regression line was calculated as y' = 9.7 - 3.2x The slope of this...

1) A regression line was calculated as y' = 9.7 - 3.2x The slope of this line is

2) A correlation coefficient r was calculated to be 0.830. The coefficient of determination would be

3) Find the equation of the regression line x 43 56 60 52 54 51 y 209 257 281 237 255 215

Homework Answers

Answer #1

Solution:

1)

The slope of this line is,

b1 = 3.2

2)

The coefficient of determination is,

r2 = 0.689

3)

X Y XY X^2 Y^2
43 209 8987 1849 43681
56 257 14392 3136 66049
60 281 16860 3600 78961
52 237 12324 2704 56169
54 255 13770 2916 65025
51 215 10965 2601 46225

n 6
sum(XY) 77298.00
sum(X) 316.00
sum(Y) 1454.00
sum(X^2) 16806.00
sum(Y^2) 356110.00
Numerator 4324.00
Denominator 4700.33
r 0.9199
r square 0.8463
Xbar(mean) 52.6667
Ybar(mean) 242.3333
SD(X) 5.2175
SD(Y) 25.0244
b 4.4122
a 9.9551

The equation of the regression line is,

Yhat = 0.955 + 4.412X

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 slope of a regression line based on sample data and the calculated correlation coefficient using...
The slope of a regression line based on sample data and the calculated correlation coefficient using the same sample data ____________. A. will have the same sign B. are equal in value C. are equal to the half of the slope and has the opposite sign D. are equal in magnitude and have opposite signs
1. A linear regression has the following equation: y = -9x + 2. How much would...
1. A linear regression has the following equation: y = -9x + 2. How much would y change by, if x increases by 4? Answer with a positive number if y increases, and a negative number if y decreases. 2.A linear regression has the following equation: y = -0.52x + 10, with a coefficient of determination R2 = 0.64. What is the correlation coefficient, rounded to two decimal places? 3. A linear regression has the following equation: y = -0.36x...
The slope of the least squares regression line is given by where r is the correlation...
The slope of the least squares regression line is given by where r is the correlation coefficient, sx is the standard deviation of the X‑values, and sy is the standard deviation of the Y‑values. If r = 0.25, sx = 2, and sy = 5, then how much should we expect Y to decrease for every one unit of increase in X?
A residual is: The difference between a data point and the regression line. A value that...
A residual is: The difference between a data point and the regression line. A value that can be 1 or zero. A value that is always negative because it is a difference The difference between two different lines. The properties of r include: r is sensitive to very high quantities The value of r is not affected if the values of either variable are converted into a different scale You must define the independent and dependent variables All of the...
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)
There is a regression line Y = 10 + 11X. The SEE for the slope is...
There is a regression line Y = 10 + 11X. The SEE for the slope is 60. The sample size is 10. The standard deviation of Y is 100 and the standard deviation of X is 5. Do a hypothesis test. Calculate the t-statistic, state the critical value, and state what this means with regards to the relation between X and Y.
For the data x= 1,4,5 , and y= 2, 7, 11 a.) Find the correlation coefficient...
For the data x= 1,4,5 , and y= 2, 7, 11 a.) Find the correlation coefficient r? What type of relationship does this represent? Explain. Show all work and calculations for credit. The formula will be provided on the board. b.) Now find our r squared= coefficient of determination. What does this number tell you in regards to our explanatory variable x and how it explains our response variable y? c.) Let’s say if our regression equation is. Y= 2.1154x...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x which has r squared=0.7. Calculate the sample correlation coefficient r. Enter the answer in the box below, rounded to 3 decimal places. Hint: Recall that the sign of r and the sign of the slope, m, are always the same.
The regression line can never be used for prediction. True False The slope is the amount...
The regression line can never be used for prediction. True False The slope is the amount Y changes for every increase in X. True False "When you calculate a regression equation, you want the line with the most error. " True False "Correlation measures the linear relationship between two variables, while a regression analysis precisely defines this line. " True False The predicted value based on a regression equation is a perfect prediction. True False What represents the intercept (the...
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT