Why don’t you do some really controversial that will piss off your teacher, like a correlation between race and IQ
And get yourself a free copy of “Introduction to Mathematical Statistics” - good book online in PDF form.
39 & 118,000
42 30,000
Might want to also ask how many of those miles did that person put on the car themselves or yearly average, etc. Unless, you really are just trying to show there is zero value in just age and mileage.
29 and 1,028 miles.
Guys, he’s just trying to show HOW to tell if there’s correlation between two data points. Not necessarily trying to find correlation among the data.
Or he’s a fuckin’ communist. Not sure which…(thousand yard stare)
32; 98,000
33 110,000
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. 
[quote]CappedAndPlanIt wrote:
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. :-D[/quote]
The pearson r was 0.00? Or- are you saying that it was not significant according to your selected Type 1 error rate?
just asking
jnd
[quote]CappedAndPlanIt wrote:
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. :-D[/quote]
pweeeeeefff, that’s a relief.
[quote]Dr. Pangloss wrote:
43, 148,760
Also, 7.5" if you need another data point.[/quote]
One of these three is BS and you know it.
[quote]CappedAndPlanIt wrote:
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. :-D[/quote]
I have never felt so alone.
Thanks numbers. 
[quote]jnd wrote:
[quote]CappedAndPlanIt wrote:
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. :-D[/quote]
The pearson r was 0.00? Or- are you saying that it was not significant according to your selected Type 1 error rate?
just asking
jnd[/quote]
Is the pearson r R^2? or just r? Because both were 0. (like… .00000002 or something)
[quote]CappedAndPlanIt wrote:
[quote]jnd wrote:
[quote]CappedAndPlanIt wrote:
Guys, I did the math and it turns out there’s no correlation. In case you were wondering. :-D[/quote]
The pearson r was 0.00? Or- are you saying that it was not significant according to your selected Type 1 error rate?
just asking
jnd[/quote]
Is the pearson r R^2? or just r? Because both were 0. (like… .00000002 or something)
[/quote]
The r is the Pearson (which measures the strength and direction of the relationship between your two variables).
R-squared is the effect size (or the amount of shared variance). Think of two conceptual variables in a venn diagram. The R-squared tells you the amount of overlap between the two.
jnd
[quote]Aero51 wrote:
Why don’t you do some really controversial that will piss off your teacher, like a correlation between race and IQ[/quote]
As funny as that would be, race is a categorical variable instead of a quantitative variable, so you can’t use it for correlation. I don’t see anything like that being done unless OP does something like ask what % of their heritage is white, and their IQ. OP could then do it for other races so he can compare the correlations/lines of regression, but that probably wouldn’t fit the rubric on his project.
[quote]Destrength wrote:
[quote]Aero51 wrote:
Why don’t you do some really controversial that will piss off your teacher, like a correlation between race and IQ[/quote]
As funny as that would be, race is a categorical variable instead of a quantitative variable, so you can’t use it for correlation. I don’t see anything like that being done unless OP does something like ask what % of their heritage is white, and their IQ. OP could then do it for other races so he can compare the correlations/lines of regression, but that probably wouldn’t fit the rubric on his project.[/quote]
Just because both variables are not interval/ratio does not prevent the computation of a correlation coefficient.
Also- I am not sure why you think this would be funny? Care to elaborate?
jnd