 Dear students, in last module we talked about the linear regression. What is a linear regression when we conduct linear regression and how do we conduct linear regression? Now, we are going to do an exercise of simple linear regression on SPSS software. Let's see how do we conduct this test on SPSS software. Students, I have one data set in which there are different variables like online bridging social capital, offline bridging social capital, online bonding social capital, offline bonding social capital, online SWIC participation, offline SWIC participation. Now I am interested to see the relationship between motivation to use social media with the one of the type of the social capital. So here we have different motivations to use social media like make new social ties, maintain existing social ties, seeking and sharing information. So we look at the relationship of make new social type with online bridging social capital and offline bridging social capital respectively. So we will go to regression with Analyze. Here you will come to linear and after coming to linear you will select your independent variable, make new social ties and in dependent you will select online bridging social capital. So here you will select estimates, model fit and in plots you will select histogram and normal probability plot. And you will continue with this and you will do okay with it. So here we see we have a model summary and we have our predictor. The relationship of bridging social capital is 0.544. This is a peer scenario. If we take its scale then it becomes 0.296 and if we adjust it with standard estimate then it becomes 0.296. We are telling the table of ANOVA that our F value is significant so this is model fit. And with this we have here the constant we have 13.499 and for make new social ties we have the standardized coefficient which is 0.544 and these two coefficients are significant. With this if we look at the charts then the data is ideally normally distributed and our normal is much better for it. And our line is also very perfect linear line. So this proves that the people who use social media for making new social ties they possess online bridging social capital. Now we will look at another type of social capital of this variable which we call offline bridging social capital. We will look at it along with it. We will do okay. So here R-Scare is 0.097. So in online this was your R-Scare 0.296 and here this R value is much less 0.097 and the model fit. As you can see the F value of ANOVA is significant. So this relationship does exist and here the standardized coefficient we have R is 0.311 and constant and make new social ties which is our independent variable both the values are significantly significant. Here we see that the normal curve is a little bit disturb i.e. it is not a normal shape and our linear line is not ideally fit. So because of this we have less R-Scare value. But this relationship exists. It is a weak relationship but it exists. So we have conducted two tests on SPSS that how we conduct linear relationship in regression with simple linear regression.