a) Find the value of the line ar correlation coefficient rb) Find the critical values ofr from table A-6 using x= 0.05c) Determine whether there is sufficient evidence to support a claim of a linear correlationBetween the two variables.d) Find the regression equation,e) Letting the first variable be the predictor (x) variable, find the indicated predicted value. Q5. Crickets and TemperatureFind the best predicted temperature at a time when a erieket ehirps 3000 times in 1 minute. Wwhatis wrong with this predicted temperature?Chirps in 1min8821188110486412001032960900Temperature 69.7OF93.384.376.388.682.671.679.6

Answered: a) Find the value of the line ar…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

a) Find the value of the line ar correlation coefficient r
b) Find the critical values ofr from table A-6 using x= 0.05
c) Determine whether there is sufficient evidence to support a claim of a linear correlation
Between the two variables.
d) Find the regression equation,
e) Letting the first variable be the predictor (x) variable, find the indicated predicted value.

Q5. Crickets and Temperature
Find the best predicted temperature at a time when a erieket ehirps 3000 times in 1 minute. Wwhat
is wrong with this predicted temperature?
Chirps in 1
min
882
1188
1104
864
1200
1032
960
900
Temperature 69.7
OF
93.3
84.3
76.3
88.6
82.6
71.6
79.6

Expert Solution

Step 1

Since you have asked multiple sub parts of the question, we will solve first three sub parts for you. If you want any specific question to be solved then please specify the question number or post only that question.

Sample size = n = 8.

Let, X : Chirps in 1 minute, Y : Temperature.

x	y	xy	x²	y²
882	69.7	61475.4	777924	4858.09
1188	93.3	110840.4	1411344	8704.89
1104	84.3	93067.2	1218816	7106.49
864	76.3	65923.2	746496	5821.69
1200	88.6	106320	1440000	7849.96
1032	82.6	85243.2	1065024	6822.76
960	71.6	68736	921600	5126.56
900	79.6	71640	810000	6336.16
$\sum_{} x = 8130$	$\sum_{} y = 646$	$\sum_{} x y = 663245.4$	$\sum_{} x^{2} = 8391204$	$\sum_{} y^{2} = 52626.6$

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