Editing Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 8
From CommunityData
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 6: | Line 6: | ||
: '''PC1.''' Refamiliarize yourself with the data and recode your variables as you did for [[Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 3|Week 3 PC8]]. You may recall from that x and y looked like they might be related. We now have the tools and terminology to describe this relationship and to estimate just how related they are. | : '''PC1.''' Refamiliarize yourself with the data and recode your variables as you did for [[Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 3|Week 3 PC8]]. You may recall from that x and y looked like they might be related. We now have the tools and terminology to describe this relationship and to estimate just how related they are. | ||
: '''PC2.''' Run a t.test between x and y in the dataset and be prepared to interpret the results. | : '''PC2.''' Run a t.test between x and y in the dataset and be prepared to interpret the results. | ||
: ''' | : '''PC23''' Estimate how correlated x and y are with each other. | ||
: '''PC4.''' Fit a linear model corresponding to the following formula and be ready to interpret the coefficients, standard errors, t-statistics, p-values, and <math>\mathrm{R}^2</math> of it: Β | : '''PC4.''' Fit a linear model corresponding to the following formula and be ready to interpret the coefficients, standard errors, t-statistics, p-values, and <math>\mathrm{R}^2</math> of it: Β | ||
:: <math>\hat{y} = \beta_0 + \beta_1 x + \varepsilon</math> | :: <math>\hat{y} = \beta_0 + \beta_1 x + \varepsilon</math> |