UToronto Statistics Customers Temperature Problem Solving Discussion

User Generated

c1998

Mathematics

University of Toronto

Description

I am attaching one problem solving question and it's answer as well you need to find the linear regression, 95% confidence intervals, Goodness to fit, Is slope significantly non- zero. So, basically everything what is given in the answers I need to know the solution how they got to that answer with the table that I am attaching to this

Unformatted Attachment Preview

Best-fit values Slope Y-intercept X-intercept 1/Slope 1.029 + 0.2060 -8.057 + 4.064 7.833 0.9722 95% Confidence Intervals Slope Y-intercept X-intercept 0.1420 to 1.915 -25.54 to 9.428 -65.32 to 13.56 Goodness of Fit R square Sy.x 0.9257 1.219 Is slope significantly non-zero? F 24.92 DFn, DFd 1,2 P Value 0.0379 Deviation from horizontal? Significant Data Number of XY pairs Equation 4 Y = 1.029*X - 8.057 Temperature # of customers 15 8 23 16 21 14 19 10
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Explanation & Answer

This document contains all the answers in your first image, together with the formulae and the step-by-step working used to get them. If you don't understand something, please ask me. Also, if you're having trouble understanding a symbol, it might help to compare the value to your answers to see which answer in your list it matches with. If you still don't understand something, don't hesitate to ask me.

Customers
x

Temperature
y

x2

y2

xy

15

8

225

64

120

23

16

529

256

368

21

14

441

196

294

19

10

361

100

190

Σ𝑥 = 78

Σy = 48

Σx 2 = 1556

Σy 2 = 6...


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