1. A. Write an equation in slope-intercept form that passes through (2,3) and is parallel to

2. B. Write an equation in slope-intercept form that contains the point (-6, 5) and is perpendicular to

3. The table gives the weights in tons and estimates the fuel economy in miles per gallon for several cars. Make a scatterplot of the data. Calculate the line of best fit (no calculator) Describe the correlation. Weight (tons) 1.31.41.51.822.12.4 mpg292423211715 D.

4. E State whether the lines are parallel, perpendicular or neither. 1.2.

5. F State whether the lines are parallel, perpendicular or neither. 3.4.

6. G Given the set of data, create a scatterplot, line of best fit, residual plot, determine if a linear or non-linear regression fits the data the best.