The scatter plot appears to follow a general positive linear trend, though the relationship is very weak. However, there is no violation of the linearity assumption.
From the table above, Pearson's r=0.155. This shows that there is a weak positive relationship between BMI and height.
The p=o.414, which is >0.05. When p>0.05, we fail to reject the null hypothesis.
In conclusion, a person's BMI is not significant to his height.
Relationship between BMI and weight!!
Since we found that a person's BMI is not related to his height, we have decided to explore a little further and analyze if a person's BMI is related to his weight.
Research question: Is a person's BMI related to his weight?
Ho: A person's BMI is not significant to his weight.
H1: A person's BMI is significant to his weight.
The scatter plot appears to follow a general positive linear trend, and there is no violation of the linearity assumption.
From the table above, Pearson's r = 0.884. This shows that there is a positive and very strong relationship between BMI and weight. The p value is 0.000, which is <0.05. When p < or equal to 0.05 we reject null hypothesis. In conclusion, a person's BMI is significant to his weight.
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The scatter plot appears to follow a general positive linear trend, though the relationship is very weak. However, there is no violation of the linearity assumption.
From the table above, Pearson's r=0.155. This shows that there is a weak positive relationship between BMI and height.
The scatter plot appears to follow a general positive linear trend, and there is no violation of the linearity assumption.
