Conducting a Simple Linear Regression in SPSS with Assumption Testing

This video demonstrates how to conduct and interpret a simple linear regression in SPSS including testing for assumptions. A simple linear regression determines the percentage of variance in a dependent variable that is attributable to a single independent variable.

[@humoaz6629]

Thanks so much Dr Grande. I learn so much from you videos that I can't even begin to tell. Your explanation is great, voice is clear and the flow is just the perfect. Bless you for contributing to education.

[@ginnamyers3059]

Your videos are exceptional! They are more, more, more helpful than my textbook! Thank you!!!!

[@JamieB]

I like that you took your time to explain step by step. It would be easy to follow along and practice linear regressions while watching your video!

[@keithwilkerson9074]

Excellent demonstration of the logic and operations required to conduct a simple linear regression in SPSS.

[@vanessagraham6473]

This really helps to break down the steps involved and understand the importance of each.

[@TuMaLife]

Really good video. I like how you explained everything that is important to a Regression. Thank you

[@TuMaLife]

How should we sort our data for example, I want to study data for a country for a 5 year period. How should I input those 5 years data in SPSS?

[@joelcagwin3593]

Thanks for a clear explanation for running a simple linear regression

[@elsi8224]

what if the dependent variables not normally distributed, can i still run the next assumptions?

[@saraspong6698]

Wish I would have found this one before I took the exam! Never the less very helpful for our upcoming assignment!

[@zalaarbab8537]

This video is the only video i understood...Thank You!

[@DrGrande]

You're welcome - thank you for watching.

[@coolguy32558]

This video was so helpful!

[@bradleyfairchild1208]

Helpful for studying for the exam, thanks.

[@ahmadaadaqqa]

Thank you for your amazing demonstration but what if we have to conduct a linear relationship test on not-normally distributed variables?

[@sannyuharris2827]

Thank you for the video!

[@corieschoeneberg9295]

Very helpful video

[@barirahkhan6179]

Can regression and/or correlation be done when one has a large number of DEPENDENT VARIABLES and one Independent Variable (treatment groups) in an experimental study?

[@trishaudumudi]

Thank you for thiss!

[@tskirchner.phd.lmft.20]

You mentioned the assumption of not having outliers but didn't cover how this is checked. Are you using Cook's D or the Std. Residual numbers to assess for outliers? Also, you looked at the R squared value to assess the significance of prediction. I thought that the p value in the Sig. column of the ANOVA table would tell us the significance of prediction. Is this incorrect?

[@somesimple]

I have been following your videos on SPSS and they have helped me alot. Can I discuss with you Regression if you could spare some time for that. Thank you.

[@nicolewalton6155]

Helpful - thank you!

[@nayabfarhat5198]

why you want correlation between two variable greater than .3?

[@WildHeartAngel3]

Were you able to figure this out? I'm trying to find out myself why this is.

[@nayabfarhat5198]

@@WildHeartAngel3 Values between 0.3 and 0.7 (-0.3 and -0.7) indicate a moderate positive (negative) linear relationship via a fuzzy-firm linear rule. Values between 0.7 and 1.0 (-0.7 and -1.0) indicate a strong positive (negative) linear relationship via a firm linear rule.

[@musicislife686]

Why does the St. Residual and the Stud. Residual have to be between -3 and +3 under the "Residual Statistics" Table?

[@dawn123ish]

Standard deviations. Values further out indicate the presence of outliers that will skew the data. This is important because 99% of the values should fall within 3 st. deviations. So, to have data that fall outside of 3, means there is a problem with the linear regression model.

[@bethmackenzie2358]

What do you do if your unstandardised B constant is a negative number?

[@TuMaLife]

How should we sort our data in Excel, for example, I want to study data for a country for a 5 year period. How should I input those 5 years data in SPSS? Should I upload each year separately into SPSS from Excel?

[@fassikawkebede4359]

very interesting

[@timstauffer1351]

Thank you

[@SaraS-uk3dm]

How do we report the assumption testing in writing in our essays

[@terihourihan6896]

thank you.

[@SaraS-uk3dm]

For normality testing if I put four variables and two of these came back non statistically significant and the other two didn’t. What does this suggest about my hypothesis

[@antonmand3671]

This probably suggests that two of your variables are not normally distributed, which means you have to run a non-parametric alternative to the pearson correlation using Kendalls tau or spearman's rho, if you get a significant result for the correlation, try to run the regression anyways, as long as the other assumptions are met, the violation of normality should not play a very big role.

[@andyk5802]

You show to conduct assumption testing, but you do not explain what the output is for (i.e., what does the standardized residual needing to fall between -3 and 3 indicate? outliers?)

[@nizarwafaei616]

yes, outliers

[@chrisvanderwende961]

vo