Respuesta :
The price of ribeye is option A. $13.51 per lb using Least Squares Regression
The Least Squares Regression Line is the line that minimizes the sum of the residuals squared. The residual is the vertical distance among the discovered factor and the anticipated factor, and it is calculated with the aid of subtracting.
The regression line is every so often known as the "line of fine fit" due to the fact it's miles the road that suits first-rate while drawn through the points. it is a line that minimizes the gap of the actual rankings from the anticipated rankings.
Ordinary least squares regression is a manner to find the line of satisfactory fit for a fixed of information. It does this by creating a model that minimizes the sum of the squared vertical distances (residuals). The distances are squared to keep away from the problem of distances with a poor signal.
The corn price (x)= $ 6.63
Commodity (ribeye price) = 4.8188 + 1.3103x
= 4.8188 + 1.3103( 6.63)
= 4.8188 +8.687289
= $ 13.506089
= $13.51
Hence the price of ribeye is option A. $13.51 per lb.
Learn more about least-square regression line here:-https://brainly.com/question/3776890
#SPJ1
