Question

SOMEONE PLS HELP QUICK

Answer 1

Answer:

The model is a good fit for the data in the table because the residual plot has a Random pattern of data points about the horizontal axis.

Step-by-step explanation:

Residual is the distinction between the dependent variable's observed value and the predicted value.

A linear regression model is good If the points of residual plot are spread randomly around the horizontal axis.

Consider the provided data,

Plot the x and y to make a residual plot and then draw the graph of the model:

$y=0.058x+4.138$

The required graph is shown in figure 1:

Using the above definition we can say that:

The model is a good fit for the data in the table because the residual plot has a Random pattern of data points about the horizontal axis.

Answer 2

2. NOT A GOOD FIT

2. RANDOM