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Tresset [83]
3 years ago
11

Given that x overbarequals3.6667​, s Subscript xequals2.0656​, y overbarequals4.2167​, s Subscript yequals1.5613​, and requalsne

gative 0.9344​, determine the​ least-squares regression line.
Mathematics
1 answer:
Shtirlitz [24]3 years ago
6 0

Answer:

y = 0.7063x+2.7790

Step-by-step explanation:

Given that

x bar = 3.6667\\s_x= 2.0656\\y bar = 4.2167\\s_7 = 1.5613\\r = -0.9344

We have slope of linear regression line is

a=r*\frac{s_y}{s_x} =0.9344(\frac{1.5613}{2.0656} )\\=0.7063

So regression line would be of the form

y-4.2167 = 0.7063(x-2.0656) (since it passes through xbar, y bar)

y = 0.7063x+2.7790

is the equation of regression line.

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3 years ago
consider the following scenario: Assume daily protein intake values in a population of athletes are known to have a standard dev
Kipish [7]

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We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

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