Regression Rumba

  1. Insert the name of a visual graph you could view to decide if there is a linear relationship between the heights and weights of students in your class. 

    What is a name for this type of graph?

    A type of plot
  2. For a relationship that interests you, insert the name of a quantitative variable (Y) that might play the role of a response (i.e., dependent) variable. Please do not use height or weight.

     
  3. For a relationship that interests you, insert the name of the quantitative variable (X) that might play the role of an explanatory (i.e., independent) variable. Please do not use height or weight.

     
  4. For the response and explanatory variable that interest you, please provide an approximate value of the slope coefficient in the linear equation used to predict Y from X.

    First think about what units each of your variables will be measured in. Then think about how much your Y variable will change when X goes up by one.
     
  5. That means that when X increases by 1 unit, on average Y will go by units.

  6. For the response and explanatory variable that interest you, please provide an approximate value of the correlation coefficient, r = . That means r 2 .