the value of a bicycle was recorded over a period of five years. based on how the plot of the residuals…

the value of a bicycle was recorded over a period of five years. based on how the plot of the residuals might look, would a linear function that passes through (0,250) and (4,25) be a good fit for the data shown? bicycle prices value of bicycle (in dollars) age of bicycle (in years)

the value of a bicycle was recorded over a period of five years. based on how the plot of the residuals might look, would a linear function that passes through (0,250) and (4,25) be a good fit for the data shown? bicycle prices value of bicycle (in dollars) age of bicycle (in years)

Answer

Explanation:

Step1: Recall residual concept

Residuals are differences between observed and predicted values. For a good - fit linear model, residuals should be randomly distributed around the x - axis.

Step2: Analyze the data points

The points seem to follow a non - linear pattern. If we fit a line through (0,250) and (4,25), the line will consistently over - or under - estimate the values. So the residuals will be one - sided.

Answer:

No, the residuals would tend to be one - sided.