Every time X VARIABLE increases by 1 X UNITS , Y VARIABLE INCREASES/DECREASES by SLOPE UNITS. When X VARIABLE is 0 X UNITS, Y VARIABLE is predicted to be Y INTERCEPT UNITS. *A lot of times the y-intercept does not make sense in context. Be on the lookout! The correlation of R indicates that there is a STRONG/MODERATE/WEAK, POSITIVE/NEGATIVE, linear relationship between the X VARIABLE and Y VARIABLE. The X VARIABLE of X VALUE was predicted to have a Y VARIABLE of Y VALUE. The actual Y VARIABLE[ WAS [RESIDUAL UNITS [HIGHER/LOWER which means the model UNDER/OVER predicted Y VARIABLE.