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REMEMBER! Type data tables in STAT EDIT. Use 4:LinReg(ax+b) for line of best fit Use 5:QuadReg for curve or quadratic of best fit Determine the quadratic curve of best fit for the data. {(2, 4), (3, 8), (4, 16), (5, 29), (6, 12), (7, 0)} y = -3.2x2 + 29x - 45 y = 7.2x2 + 9x - 42 y = 2.8x2 + 2x + 11 y = -35.2x2 + 291x - 23 Use the curve of best fit you just found to estimate the value of y when x = 15. {(2, 4), (3, 8), (4, 16), (5, 29), (6, 12), (7, 0)} 417 330 -330 -417 Eddie hiked Mt. Washington each year between the ages of 13 & 17. The number of miles hiked each year is recorded below. What is the equation for the line of best fit? y = -42.3x + 965 y = -35.7x + 885.7 y = -21.3x + 754.1 y = -11.7x + 543 Eddie hiked Mt. Washington each year between the ages of 13 & 17. The number of miles hiked each year is recorded below. Based on the equation you just found, how many miles will Eddie hike when he is 21 years old? 164 158 142 136 Determine the quadratic curve of best fit for the data. y = -0.381x2 + 510x - 637218 y = -0.412x2 + 654x - 789643 y = -0.176x2 + 700.9x - 696543 y = -0.811x2 + 198x - 568992 Richard started a leaf-raking business. He timed how many leaves he could rake. What is the equation for the line of best fit? y = 25.26x + 4.2 y = 25.26x + 3.99 y = 25.26x + 3.5 y = 25.26x + 2.7 Richard started a leaf-raking business. He timed how many leaves he could rake. Based on your line of best fit, how many total leaves will Richard rake in one hour (60 minutes)? 1519 1689 1734 1882 |