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padilas [110]
3 years ago
10

Noah testes several men of different ages to see how many push ups they could complete in a row without resting. An approximate

least squares regression line was used to predict the number of push ups from a given age of man
Mathematics
2 answers:
aev [14]3 years ago
7 0

Answer:

Estimator 'b' from sample regression function 'y = b0 + b1x + u' satisfies OLS, if Σu^2 = Σ (Y - y)^2 is minimum

Step-by-step explanation:

Regression shows the relationship between independent (causal) & dependent (effected) variables.

As per given case : Independent variable = men's are = x ; dependent variable = number of push ups = y

  • Population regression function [ PRF ] : Y | Xi = B0 + B1Xi
  • Sample (estimated) regression function [SRF] : y = b0 + b1x + u

OLS [Ordinary Least Square] model is a method used for finding linear regression parametes (b's), such that it minimises the sum of squared residuals. Residuals are the error terms between PRF actual value & SRF estimated value

So, b's from SRF are OLS estimators if, Σu^2 = Σ (Y - y)^2 is minimum

galina1969 [7]3 years ago
7 0

Answer:

This man completed 10 fewer push ups than predicted based on his age.

Step-by-step explanation:

Answer from Khan

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Answer:

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Step-by-step explanation:

Let x be the number of hours.

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