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SOMEONE PLS HELP QUICK
ATTACHED FILE BELOW FOR MORE INFORMATION
TO QUESTION
The number of hours slept at night is related to the number of minutes spent exercising that day. A collection of data on the number of minutes spent exercising, x, and the number of hours slept, y, is shown in the table below.

DROP DOWN MENU #1:
1. A GOOD FIT
2. NOT A GOOD FIT

DROP DOWN MENU #2:
1. NON-RANDOM
2. RANDOM

SOMEONE PLS HELP QUICK ATTACHED FILE BELOW FOR MORE INFORMATION TO QUESTION The number of hours slept at night is related to the number of minutes spent exercis class=

Respuesta :

jordansgirl13
2. NOT A GOOD FIT

2. RANDOM

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:

[tex]y=0.058x+4.138[/tex]

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.

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