Question

Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...

Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, where lemon imports are in metric tons and the fatality rates are per​ 100,000 people, find the best predicted crash fatality rate for a year in which there are 425 metric tons of lemon imports. Is the prediction​ worthwhile? Lemon Imports 226 266 364 469 544 Crash Fatality Rate 15.9 15.7 15.4 15.3 14.8

Homework Answers

Answer #1

Ans:

x y xy x^2 y^2
1 226 15.9 3593.4 51076 252.81
2 266 15.7 4176.2 70756 246.49
3 364 15.4 5605.6 132496 237.16
4 469 15.3 7175.7 219961 234.09
5 544 14.8 8051.2 295936 219.04
Total 1869 77.1 28602.1 770225 1189.59

slope,b=(5*28602.1-1869*77.1)/(5*770225-1869^2)=-0.00304

y-intercept,a=(77.1-(-0.00304)*1869)/5=16.558

Regression eqn:

y'=-0.00304x+16.558

when x=425

y'=-0.00304*425+16.558

y'=15.27

Yes,as x=425 is within the range of sample x values.

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 regression? equation, letting the first variable be the predictor? (x) variable. Using the listed?...
Find the regression? equation, letting the first variable be the predictor? (x) variable. Using the listed? lemon/crash data, where lemon imports are in metric tons and the fatality rates are per? 100,000 people, find the best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports. Is the prediction? worthwhile? Lemon Imports 229 267 362 485 517 Crash Fatality Rate 15.9 15.8 15.4 15.3 14.9 Find the equation of the regression line y...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, where lemon imports are in metric tons and the fatality rates are per​ 100,000 people, find the best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports. Is the prediction​ worthwhile? Lemon Imports 230 270 364 461 526 Crash Fatality Rate 16.1 16 15.7 15.5 15.2 Find the equation of the regression line. yhat=...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, where lemon imports are in metric tons and the fatality rates are per​ 100,000 people, find the best predicted crash fatality rate for a year in which there are 525metric tons of lemon imports. Is the prediction​ worthwhile? Lemon Imports 226 261 357 460 533 Crash Fatality Rate 16.1 16 15.7 15.5 15.1 Find the equation of the regression line.
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, where lemon imports are in metric tons and the fatality rates are per​ 100,000 people, find the best predicted crash fatality rate for a year in which there are 450 metric tons of lemon imports. Is the prediction​ worthwhile? Lemon Imports 231    268    350 461    550 Crash Fatality Rate    15.9    15.6    15.2 15.3    15 Find...
the table below shows lemon imports (in metric tone) and cash fatality rate. lemon imports[ 230...
the table below shows lemon imports (in metric tone) and cash fatality rate. lemon imports[ 230 265 358 480 530] crash fatality rate[ 15.9 15.7 15.4 15.3 14.9 ] a) are lemon imports and crash fatality rate correlated? test at 5% significance. b)Using a regression line, what do you predict the crash fatality rate when 500 metric tons of lemons are imported?
Listed below are annual data for various years. The data are weights​ (metric tons) of imported...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using α=0.05 Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities? Lemon Imports 228 266 357 483 534 Crash...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 30 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 48 years? Best Actress 28 30 29 62 32 35 43 30 62 22 44 53 Best Actor 42 36...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 60 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 38 ​years? Best Actress 28 29 30 62 34 34 45 29 60 21 43 52 Best Actor 42 37...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 6060 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 3838 ​years? Best Actress 2828 2929 3030 6262 3434 3434 4545 2929 6060 2121 4343 5252 Best Actor 4242 3737...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ actress/actor ages in various​ years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 29 years. Is the result within 5 years of the actual Best Actor​ winner, whose age was 43 ​years? Best Actress 29 29 28 62 33 33 47 29 61 22 45 51 Best Actor 43 36...