Question

Two variables are defined, a regression equation is given, and one data point is given. Hgt...

Two variables are defined, a regression equation is given, and one data point is given. Hgt = height in inches Age = age in years of a child Hgt ^ = 24.6 + 2.71 ( Age ) The data point is a child 12 years old who is 60 inches tall. Incorrect answer. Incorrect. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers.

Predicted value =

Entry field with incorrect answer inches

Residual =

Entry field with incorrect answer inches

Homework Answers

Answer #1

Hello

Given regression equation :   Hgt ^ = 24.6 + 2.71 ( Age )

(a) I have to find the predicted value for data point when age = 12 years and residual assuming Height of child is 60 inches.

Hence, the predicted value using the regression equation is :

Height = 24.6 + (2.71*12) = 57.12 inches.

Residual = Actual height - Predicted Height = 60 - 57.12 = 2.88 inches.

I hope this solves your doubt.

Do give a thumbs up if you find this helpful.

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
a.) Two variables are defined, a regression equation is given, and one data point is given....
a.) Two variables are defined, a regression equation is given, and one data point is given.     BAC = blood alcohol content ( % of alcohol in the blood)     Drinks = number of alcoholic drinks     ^ BAC = -0.0124+0.019(Drinks_ The data point is an individual who consumed 3 drinks and had a BAC of 0.08. Find the predicted value for the data point and compute the residual.   Enter the exact answers. Predicted value = Residual = b.) Two...
1.)Use the given data to find the best predicted value of the response variable. The regression...
1.)Use the given data to find the best predicted value of the response variable. The regression equation is . What is the best predicted value of y for ? 2.)Use the given data to find the best predicted value of the response variable. The regression equation is  What is the best predicted value of y for ? Group of answer choices 4.22 27 93.5 18.3 3.) Use the given data to find the best predicted value of the response variable. The...
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 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. font size decreased by 1 font size increased by 1 Shoe size comma x 6.0 9.5 10.0...
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...
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: 758, 621, 518, 510, 492, 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 x 764 625 520 510 492 484...
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...
1. Given the following observations of quantitative variables X and Y: x= 0, 1, 2, 3,...
1. Given the following observations of quantitative variables X and Y: x= 0, 1, 2, 3, 15 y= 3, 4, 6, 10, 0 a. Make a scatterplot of the data on the axes. Circle the most influential observation. (4 points)    (b)   Determine the LSRL of Y on X. Draw this line carefully on your scatterplot. (4 points) (c)   What is the definition of a regression outlier? (4 points) (d) Which data point is the biggest regression outlier? (4 points)...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT