Which characteristic of a data set makes a linear regression model unreasonable?
Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.
If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.
Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.
The dot plot shows the frequency or length of the tadpoles
The total length of the tadpoles that are 1/8-inch and 1/4-inch long is 7/8 inches
<h3>How to determine the total length?</h3>
From the dot plot, we have the following parameters:
- 3 tadpoles have a length of 1/8
- 2 tadpoles have a length of 1/4
So, the total length is:
Total = 3 * 1/8 + 2 * 1/4
Evaluate the product
Total = 3/8 + 1/2
Rewrite as;
Total = 3/8 + 4/8
Evaluate the sum
Total = 7/8
Hence, the total length of the tadpoles that are 1/8-inch and 1/4-inch long is 7/8 inches
Read more about dotplots at:
brainly.com/question/24309209
To do this you have to divide 135 miles by 5 hours. You will get the answer of 27 miles per hour.
using the LCD method.... well, there are a couple of ways, but let's simply add them up.
well, the denominators are 5x and 2x... so the only LCD will just be 10x, since it's divisible by both, so let's use that one.
Number one is 12. There is 12 cubes.
