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Verdich [7]
3 years ago
7

The mean and standard deviation for number of robberies in the U.S. from 2000 to 2015 are x̄ = 354,718 and sx = 28,803. The mean

and standard deviation for number of assaults in the U.S. for the same time period are ȳ = 774,140 and sy = 44,910. The correlation coefficient is r = 0.84. Find the equation for the least-squares regression line for number of assaults compared with number of robberies. ŷ = 309,552.15 + 1.31x ŷ = 1.31 + 309,552.15x ŷ = 546,641.84 + 0.64x ŷ = 0.64 + 546,641.84x Unable to determine the equation
Mathematics
1 answer:
Basile [38]3 years ago
8 0

Answer:

\hat{y}=309,552.15 + 1.31x

Step-by-step explanation:

The equation for the least-squares regression is,

\hat{y}=a+bx

where b is the slope and a is the intercept.

They can be found out by,

b=r\cdot \dfrac{SD_y}{SD_x},\\\\a=\overline{y}-b\overline{x}

where,

r = correlation coefficient = 0.84

SD_y = standard deviation of y = 44,910

SD_x = standard deviation of x = 28,803

\overline{y} = mean of y = 774,140

\overline{x} = mean of x = 354,718

Putting the values,

b=0.84\cdot \dfrac{44910}{28803}=1.309\approx 1.31

a=774140-(1.31\times 354718)\approx 309,552.15

Therefore the equation is,

\hat{y}=309,552.15 + 1.31x


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