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Tutorial 1. Inferential Statistics, Statistical Modelling & Survey Methods (BS2506). Pairach Piboonrungroj (Champ) [email protected] 1.(a) Pearson ’ s product moment correlation coefficient and test a significant positive correlation.

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Tutorial 1

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Tutorial 1

Tutorial 1

Inferential Statistics, Statistical Modelling & Survey Methods

(BS2506)

Pairach Piboonrungroj(Champ)[email protected]


1 a pearson s product moment correlation coefficient and test a significant positive correlation

1.(a) Pearson’s product moment correlation coefficient and test a significant positive correlation


1 a pearson s product moment correlation coefficient and test a significant positive correlation1

1.(a) Pearson’s product moment correlation coefficient and test a significant positive correlation


1 a pearson s product moment correlation coefficient and test a significant positive correlation2

1.(a) Pearson’s product moment correlation coefficient and test a significant positive correlation


1 a pearson s product moment correlation coefficient and test a significant positive correlation3

1.(a) Pearson’s product moment correlation coefficient and test a significant positive correlation


Tutorial 1

1.a

thus we reject H0


Tutorial 1

1(b)


Tutorial 1

1(c)

Therefore do not reject the null hypothesis


Tutorial 1

2(a)


Tutorial 1

2(a)


Tutorial 1

2(a)


Tutorial 1

2(a)


Tutorial 1

2(a)


Tutorial 1

2(b)

Reject H0. Therefore there is a significant correlation between the rankings.


3 wine s demand price

3. Wine’s Demand & Price


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3 (a)


3 b regression model

3.b. Regression Model


Tutorial 1

3(b)


Tutorial 1

3(b)


Tutorial 1

3(b)


Tutorial 1

3 (b)

(a) If y = 0, x = 4.9

(b) If y = 500, x = 3.7

b

a


Tutorial 1

3(c)

x = £3.50 then

Estimated y = 2080-424(3.50)=596

C2.It is possiblebut NOT appropriate to use the above equation for a price of £1.99

because the sample data for this estimated linear regression equation

included prices for £2.99 to £4.99.


Tutorial 1

3(d)

ESS = 2,661,569 – (2,080)(4,097) – (-424)(14,123) = 127,961

TSS = 2,661,569 – 10(409.7)2 = 983,028

R2 = 1 – 127,961/983,028 = 0.87

87% of Variation in Demand (y) is Explained by Price (x).


Tutorial 1

3(e)


Tutorial 1

3(f)

Thus we reject H0.

There is a negative relationship between price & demand.


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3(g)

C.I.= -557 to -290


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3(h)

C.I. for the mean

= 487 to 705


Tutorial 1

3(I)

P.I.

= 284 to 908


Thank you

Thank you

www.pairach.com/teaching


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