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:
-3 sqrt 2 or -4.242640687
Step-by-step explanation:
The 2 numbers are 14 and 6. 14-6 = 8.
14 + 6 = 20
Answer:
0.24 > 0.18
Step-by-step explanation:
Given that,
Bob's stack = 0.2m
Cal's stack = 0.24m
Pete's stack = 0.18m
To find?
A number sentence.
<em>A simple sentence is a string/collection of words that contain a subject and a verb whereas a number sentence is a sentence that consist of </em><em>mathematical operation</em><em> like +, -, /, * together with an equality such as =, <, >, and like a sentence it also tell a fact.</em>
<em> </em>So, the number sentence that compares cal's stack of cards to Pete's stack is
<h2>0.24 > 0.18</h2>
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<em> </em>
Answer:
can't be simplified or you can add you get the answer
