Someone pls 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

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:

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.

example 2 – simplify: step 1: completely factor both the numerators and denominators of all fractions. step 2: change the division sign to a multiplication sign and flip (or reciprocate) the fraction after the division sign; essential you need to multiply by the reciprocal. step 3 : cancel or reduce the fractions.

plz mark brainliest i took the test