# Help understanding why my data is plotting like this

#### MJFlavell

##### New Member
If anyone could help me understand why my data is plotting like this and how to progress from here it would be much appreciated.

#### Attachments

• 42.1 KB Views: 8

#### Miner

##### TS Contributor
It appears that you have run an experiment at two levels (2.15, 2.9). That would account for the variation along the y - axis with only two along the x - axis. This graph is typical for controlled experiments. If you are concerned about heteroskedacity, you could run a test for equal variances between the two levels of x.

#### MJFlavell

##### New Member
Thank you for replying, that makes a lot of sense, do you know of where I can find out how to run that test on SPSS??

#### hlsmith

##### Less is more. Stay pure. Stay poor.
Well if you have a continuous variable explain by a binary variable you are pretty much just conducting the equivalence to a ttest and you could just run a ttest with pooled variance, then report out the mean differences with confidence intervals.

#### Miner

##### TS Contributor
Thank you for replying, that makes a lot of sense, do you know of where I can find out how to run that test on SPSS??
I am not an SPSS user.

#### MJFlavell

##### New Member
Alright thank you guys, I appreciate the help

#### MJFlavell

##### New Member
It appears that you have run an experiment at two levels (2.15, 2.9). That would account for the variation along the y - axis with only two along the x - axis. This graph is typical for controlled experiments. If you are concerned about heteroskedacity, you could run a test for equal variances between the two levels of x.
Sorry about this but having thought over what has been said, my study and the resulting data are from people answering two questionnaires, one on their social behaviours and one of their fear of crime, my study was not an experiment with conditions which is why I am confused. The only explanation I can think of is that the two sets are due to the male and female component of the study, could that be the reason it has plotted like this?