Question

The correlation coefficient for blood pressure and amount of vegetables eaten in a group of people is -0.7. Analyze the following statement: High blood pressure is caused by not eating vegetables. Is this a reasonable conclusion?

Answer 1

Are you in stats?

Answer 2

yea

Answer 3

Ok, well I don't know if you've this or not but this is a cor-relational study. Basically they look at how two things relate to each other.

Answer 4

What you need to know however that CORRELATION DOES NOT EQUAL CAUSATION: basically because two things correlate don't mean one causes the other, there might be other things (called confounding variables) that are the actual causes of the correlation.

Answer 5

No; blood pressure and eating vegetables are completely unrelated

No; even though there is a strong negative correlation, not eating vegetables doesn't necessarily cause high blood pressure

Yes; eating vegetables reduces blood pressure, so the opposite is also true

Yes; the correlation coefficient is below -0.5, so that implies causation

Answer 6

I would put it as
"a negative moderate correlation between consuming vegetables and high blood-pressure has been observed in a certain study."
Do NOT put a causal relationship unless proven.

Answer 7

This question boils down to understanding the meaning of "correlation coefficient" and being able to explain its significance. For example, given a correlation coeff., you should be able to determine whether the correlation is positive or negative, as in whether the dependent variable increases or decreases as the independent variable increases.

Note that r=-0.7 represents a STRONGER correlation than does r=-0.5.

I agree: we are discussing CORRELATION and its implications here, not causation.

Answer 8

For example, ice cream and sun tan lotion are usually positively correlated in July. Why? Because it's hot so people are going to get both items, that doesn't mean the people are lured to the stores after eating the ice cream or putting on the tan lotion so your best bet is to go with the second option, that they are correlated but it doesn't necessarily cause anything the other

Answer 9

one more question

Answer 10

You suspect that the spiciness of food served in a restaurant is positively correlated with number of soft drinks ordered. You have gathered several observations of people ordering food of different spice-levels and the number of soft drinks they ordered. You have also plotted the data and found a line of best fit. What would be your next steps to test your hypothesis?

Plot all data together on a dot plot to assess if there is any visible correlation between the data sets.

Offer a conclusion based on the data you observed.

Pick two points on the dot plot and find a line of best fit.

Find the correlation coefficient to see how well the line of best fit actually fits the data.

Answer 11

D?

Answer 12

I know its not A