Use the table to calculate the 95 % prediction interval for y at ro = 20y144.20206.27288.33Regression Equation: y = 3.6a + 3.866667DegreesofFreedomStandard ErrorMargin of ErrorPrediction Intervalfor y(Ey²) – b-() – m(Ery)n(ro – 7)S. =E = t · Se1+ý - E ΣΣDegreesofFreedomPredíction IntervalStandard ErrorMargin of Errorfor yn(zo - 2)(Ey²) - 6 (Ey) – m(Ery)n - 211+E = te S.n- 2 ý - E < y<ŷ +ES. =a. Standard Error S. =(3 decimal places)b. Mean i =c. Critical Value te=(use 4 decimal places)Round the following to 3 decimplacesd. Margin of Error E-ande. The 95% prediction interval for the value of y at zo = 20 is between

Regression : Linear Regression analysis is used to measure the association (or) linear relationship…

a. Standard Error S. = (3 decimal places) b. Mean i = c. Critical Value t.- (use 4 decimal places) Round the following to 3 decimal places d. Margin of Error E- and e. The 95% prediction interval for the value of y at zo = 20 is between

a. Standard Error S. = (3 decimal places) b. Mean i = c. Critical Value t.- (use 4 decimal places) Round the following to 3 decimal places d. Margin of Error E- and e. The 95% prediction interval for the value of y at zo = 20 is between

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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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

Question

Use the table to calculate the 95 % prediction interval for y at ro = 20
y
14
4.
20
20
6.
27
28
8.
33
Regression Equation: y = 3.6a + 3.866667
Degrees
of
Freedom
Standard Error
Margin of Error
Prediction Interval
for y
(Ey²) – b-() – m(Ery)
n(ro – 7)
S. =
E = t · Se
1+
ý - E <y< ý + E
it
n-2
n– 2
n(Er?) – (Er)
n
a. Standard Error S. =
(3 decimal places)
b. Mean =

Σ
Σ
Degrees
of
Freedom
Predíction Interval
Standard Error
Margin of Error
for y
n(zo - 2)
(Ey²) - 6 (Ey) – m(Ery)
n - 2
1
1+
E = te S.
n- 2 ý - E < y<ŷ +E
S. =
a. Standard Error S. =
(3 decimal places)
b. Mean i =
c. Critical Value te=
(use 4 decimal places)
Round the following to 3 decim
places
d. Margin of Error E-
and
e. The 95% prediction interval for the value of y at zo = 20 is between

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