Question

find the equation of the regression line for the given data. x y 430 150 480...

find the equation of the regression line for the given data.

x y
430 150
480 170
320 130
380 120
290 70
530 180

Predict the value of

Y for x=180

x=100

x=140

x=210

Homework Answers

Answer #1

solution:-
the regression line is
y^ = 0.393 x −22.693
explanation:-

y^ = b x + a
y^ = 0.393 x - 22.693

Predict the value of Y
x = 180
=> y^ = 0.393(180) - 22.693
=> y^ = 48.0

x = 100
=> y^ = 0.393(100) - 22.693
=> y^ = 16.6

x = 140
=> y^ = 0.393(140) - 22.693
=> y^ = 32.3

x = 210
=> y^ = 0.393(210) - 22.693
=> y^ = 59.8

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
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. Calories,x 150 170 120 130 70 190 ​(a) x=180...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. (a) x=160 calories (b) x=100 calories (c) x=130 calories...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x   Sodium, y    150   420 170   470...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. (a) x=170 Calories (B )x=100 calories (C) x=140 Calories...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table shows the shoe size and heights​ (in) for 6 men. Shoe size, x 6.0 8.5 9.0 12.0 13.0 13.5 ​(a) x=size 9.5 ​(b) x=size 7.5 ​Height, y...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 768 628 518 511 491...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height x= 772 628 518 508 496 483 Stories,...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 772 628 518 508 496...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT