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11. Construct a scatterplot and identify the mathematical model that best fits the data.
Assume that the model is to be used only for the scope of the given data and consider
only linear, quadratic, logarithmic, exponential, and power models. Use a calculator or
computer to obtain the regression equation of the model that best fits the data. You
may need to fit several models and compare the values of R2.
The table below shows the weight of crops of oranges and the resulting gallons of juice. Using the
weight as the independent variable, find the regression equation of the best model.
x (pounds of oranges). 4321. 5012 5239 5366 8978 25413
y (gallons of orange juice) 341.3 391.5 399.6 417.2 656.1 1927.3
O y = -13.07 + 0.079x
O y = .079x0.998
O y = 264.43 €1.0001x
O y = -7511.9 + 923.99 In x

if you was gonna solve for a, a is a   < -12

0 and 5 minutes

step-by-step explanation:

given that one morning eight buses arrive late by the number of minutes given below:

0 8 2 6 9 2 0 7 8

write these in ascending order

0   0 2 6 7 8 8 9

in the afternoon two more buses arrive at the bus stop say by x and y minutes late.

total number of buses = 10

median = average of 4th and 5th after arranging in ascending order

since 4th entry is 6, the values of x and y should be below 6

also given 0 is the mode so either x or y or both should be 0 because then only 0 gets the maximum frequency and hence mode

thus we have

0 0 0 2 6 7 8 8 9 and another unknown entry which is below 6.

since median is 3.5, we have the unknown entry to be 5 only because then only median =( 2+5)/2

thus the after noon buses were late by 0 and 5 minutes.

16 is the coefficient

hope this