Question

A regression was run to determine if there is a relationship between the happiness index (y)...

A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).

The results of the regression were:

y=a+bx
a=0.13
b=0.198
r2=0.436921
r=0.661


(a) Write the equation of the Least Squares Regression line of the form

y= + x

(b) If a country increases its life expectancy, the happiness index will

  • decrease
  • increase



(c) If the life expectancy is increased by 2.5 years in a certain country, how much will the happiness index change? Round to two decimal places.



(d) Use the regression line to predict the happiness index of a country with a life expectancy of 74 years. Round to two decimal places.

Homework Answers

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 regression was run to determine if there is a relationship between the happiness index (y)...
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: y=a+bx a=-1.921 b=0.058 r2=0.753424 r=0.868 (a) Write the equation of the Least Squares Regression line of the form y= + x (b) If a country increases its life expectancy, the happiness index will increase decrease (c) If the life expectancy is increased by 3 years in a certain...
A regression was run to determine if there is a relationship between the happiness index (y)...
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: y=a+bx a=0.331 b=0.11 r2=0.405769 r=0.637 (a) Write the equation of the Least Squares Regression line of the form y= + x (b) If a country increases its life expectancy, the happiness index will increase decrease (c) If the life expectancy is increased by 1.5 years in a certain...
A regression was run to determine if there is a relationship between hours of TV watched...
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.276 b=24.302 r2=0.779689 r=-0.883 Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched...
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.623 b=37.26 r2=0.386884 r=-0.622 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)
Fit a regression line to the data shown in the​ chart, and find the coefficient of...
Fit a regression line to the data shown in the​ chart, and find the coefficient of correlation for the line. ​year, X 0​ (1900) 2​ (1920) 4​ (1940) 6​ (1960) 8​ (1980) life​ expectancy, y 49.8 years 52.1 years 53.7 years 54.9 years 55.9 years Use the regression line to predict life expectancy in the year 2020​, where x is the number of decades after 1900. Regression line y=0.750x + 50.28 The coefficient of correlation is ? ​(Round to three...
Let x be the age in years of a licensed automobile driver. Let y be the...
Let x be the age in years of a licensed automobile driver. Let y be the percentage of all fatal accidents (for a given age) due to speeding. For example, the first data pair indicates that 34% of all fatal accidents of 17-year-olds are due to speeding. Given: Σx = 329, Σy = 114, Σx2 = 18,263, Σy2 = 2582, Σxy = 3988, and r ≈ −0.961. (c) Find x, and y. Then find the equation of the least-squares line...
A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed...
A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women. Men 45.2 54.3 62.8 53.2 68.4 64.7 Women 44.4 62.3 61.4 55.2 65.1 59.5 The correlation coefficient for the data is =r0.844 and =α0.05. Should regression analysis be done? Find the equation of the regression line. Round the coefficients to at least three decimal places. y'= a+bx a= b= Find women's life expectancy in a country where men's life...
Let x be the age of a licensed driver in years. Let y be the percentage...
Let x be the age of a licensed driver in years. Let y be the percentage of all fatal accidents (for a given age) due to failure to yield the right of way. For example, the first data pair states that 5% of all fatal accidents of 37-year-olds are due to failure to yield the right of way. x 37 47 57 67 77 87 y 5 8 10 15 31 44 Complete parts (a) through (e), given Σx =...
19 A regression was run to determine if there is a relationship between hours of TV...
19 A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.082 b=36.749 r2=0.6889 r=-0.83 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place) 18 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern...
x 1 4 9 16 26 36 y 39 46 76 100 150 200 Complete parts,...
x 1 4 9 16 26 36 y 39 46 76 100 150 200 Complete parts, given Σx = 92, Σy = 611, Σx2 = 2326, Σy2 = 81,913, Σxy = 13,607, and r ≈ 0.998. a) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = b) Find x, and...