In Exercises 3134, use a graphing utility to graph the exponential function. y 3 x1 2 x2 1y
Chapter 4 and 5 notes The least line of linear regression is the line that minimizes the sum of squared deviations. (can find this by putting in to your calculator) y=a+bx b= the slope, which is the amount that y increases when x decreases by 1 unit. a= the intercept, which is the height of the line about x=0 Calculating slop and interpreting slope> a good line= data points close to the line *deviations will be small in size *above the line deviations are positive *below the line data points are negative Coefficient of determinations (r^2)= the amount of variability in y that can be a characteristic to an approximate linear relationship between x and y. Correlation Coefficient(r) = measures st
