Curtis and Kim have been given the same two-variable data about the weights of 250 dolphins in captivity and the amount of fish each one eats daily (in pounds). Kim uses a quadratic model in projecting how much captive dolphins eat daily. This model has a coefficient of determination of 0.8766. Curtis uses a linear model in projecting how much the dolphins eat. This model has a coefficient of determination of 0.84775. Whose model fits the dolphin data best? Explain why.

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33

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