unit 2

• Describing Scatterplot/Relationship:

  D: Direction

  O: Outlier

  F: Form

  S: Strength
• R=0-0.5: Weak Positive Correlation
• r=close 1: Strong Correlation
• r=1 Perfect Correlation
• R=0--0.05: Weak Negative Correlation
• R= Close to -1: Strong Negative Correlation
• r=-1: Perfect Negative Correlation
• Response Variable: y-value
• Explanatory Variable: x-value
• Interpret Slope: For every 1 (x-unit) increase in (explanatory variable) (x-value), our model predicts an average (Increase/Decrease) of (slope y) in (Response Variable)
• Interpret Y-intercept:

  When the (explanatory value) is zero (x-units), our model predicts that the (response variable) would be (y-intercept).
• The standard deviation of Residuals (s)

  When using the LSRL with (explanatory variable) to predict (response variable), we will typically be off by about (value of s with units of the response variable).
• Coefficient of Determination

  (r^2%) of the variation in the (response variable) can be explained by the linear relationship with (explanatory variable).
• Slope: b=r*s(y)/s(y)
• y-intercept b: y- - bx-