The answer to your question is C because it makes sense
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.
Answer:
x=6/11
x≈0.545
Step-by-step explanation:
They are corresponding angles, so their measurements are congruent to each other. Therefore, you can set them equal to each other and solve for x:
19x+6=30x
6=11x
6/11=x
x=6/11
x≈0.545
Using an exponential function, it is found that you would have an amount of $64,060 in 45 years.
<h3>What is an exponential function?</h3>
An increasing exponential function is modeled by:
In which:
- A(0) is the initial value.
- r is the growth rate, as a decimal.
In this problem, considering the initial value of A(0) = 2000, with a growth rate of r = 0.26 each 3 years, the equation is given by:
In 45 years, the amount will be given by:
More can be learned about exponential functions at brainly.com/question/25537936
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