Answer:
Option C is correct
Step-by-step explanation:
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</h3><h3>Hope it is helpful.....</h3>
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.
So the question ask to calculate and find the equation that could represent the graph that is shown in your problem. In getting the answer to this, you must use the formula of the slope intercept form and get the value of the slope. So the answer would be letter D. y=x+3.
The greatest common factor is 2
