Mathematics, 20.09.2020 03:01, funnybugy16
Help please !!
The least squares regression equation for the data in the table is y= 13.5x + 56.4. The r^2 value is 0.997.
Why might you use a linearized model instead?
A. there is a pattern in the residual plot for the linearized data.
B. this is the best model. You don’t need to linearize the data.
C. The y-values are increasing.
D. The r^2- value of the linearized model is greater than 0.977.
Answers: 3
Mathematics, 21.06.2019 17:00, afletcher2000
Jasmine wants to eat at 8: 00pm her meal takes 65mins to cook what time does she need to put the meal in the oven
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Mathematics, 21.06.2019 21:20, madisontrosclair2
Amajor grocery store chain is trying to cut down on waste. currently, they get peaches from two different distributors, whole fruits and green grocer. out of a two large shipments, the manager randomly selects items from both suppliers and counts the number of items that are not sell-able due to bruising, disease or other problems. she then makes a confidence interval. is there a significant difference in the quality of the peaches between the two distributors? 95% ci for pw-pg: (0.064, 0.156)
Answers: 3
Help please !!
The least squares regression equation for the data in the table is y= 13.5x + 56.4....
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