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.

6 0

4 years ago

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Help with this math equation please help

Alex787 [66]

Answer:

i. Girls : 10 merits

ii. Boys : 11.4 merits

iii. The boys did better on average because the number of their mean merits received is higher than that girls.

Step-by-step explanation:

Mean = $\frac{sum of merits}{number of merits}$

Sum of merits received by boys = 5 + 10 + 19 + 22 + 13 + 10 + 1

= 80

number of merits = 7

Mean number of merits received by boys = $\frac{80}{7}$

= 11.4286

The mean number of merits received by boys is 11.4

Sum of merits received by girls = 6 + 11 + 15 + 16 + 12 + 10 + 0

= 70

number of merits = 7

Mean number of merits received by girls = $\frac{70}{7}$

= 10.0

The mean number of merits received by girls is 10.0

Therefore,

i. Girls : 10 merits

ii. Boys : 11.4 merits

iii. The boys did better on average because their mean merits is higher than that girls.

4 0

3 years ago