The table below shows the relationship between the diameter, x, in inches, and the height, y, in feet, of trees in a national park 8.3 10.5 12.9 16.3 77 17.3 81 17980 81 the two models shown were developed to represent the data model 1: y = 1.04r + 61.92 model 2: y = 1.212 + 58.4 create a residual plot for each model and select the true statement based on the residuals for each model

I think the answer is A.

Step-by-step explanation:

After graphing it in Desmos, I decided model A was better, and that it was non-random.

The correct option is A) The residual plot for model 2 has a random pattern and is a good fit for the data.

Step-by-step explanation:

Consider the provided data.

The table shows the relationship between the diameter, x, in inches, and the height, y, in feet, of trees in a national park.

The residual plot for the table is shown in figure 1:

Now, consider the model 1: y = 1.04 x + 61.92

The residual of the above model is shown in figure 2:

Consider the model 1: y = 1.21 x + 58.4

The residual of the above model is shown in figure 3:

Now observe the figure 4 which compare all the three residuals.

By comparing the residual of all the three models it can be concluded that 'Model 2 has a random pattern and is a good fit for the data.

Therefore, the correct option is A) The residual plot for model 2 has a random pattern and is a good fit for the data.

i'm not entirely sure

step-by-step explanation:

if you ask home depot or lowe's they might be able to you out

0.02

step-by-step explanation:

time of 9 192 631 770 periods of the radiation corresponding to the transition between the 2 hyperfine levels of the ground state of the caesium 133 atom at 0 k (but other seconds are sometimes used in astronomy)