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.
1 hours to fill the dish
for 1/2 of the dish
think
1/2 times 2=2/2=1 so therefor it takes 1 less doubling so
60 mins
1 less double
(double is 6 mins so )
60-6=54
the answe ris 54 mins or a
Step-by-step explanation:
hope this helps you with the question
154mm
we know that 1cm = 10 mm
therefore 15cm= 10*15 mm
= 150 mm
and 4 mm
we get total mm= 15cm +4mm
= 150mm+4mm
= 154 mm
mm stands for millimeters and cm stand for centimeters
learn more of millimeter here brainly.com/question/25862563
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