Regression, Correlation and Hypothesis Testing
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A meteorologist is investigating the relationship between relative humidity, hhh as a percentage, and horizontal visibility, vvv in kilometres (km), at an airport. A random sample of 12 days is selected from the previous year.

The collected data are summarised as follows: n=12,∑h=816,∑v=156,∑v2=2240,Shh=960,Shv=−384n = 12, \quad \sum h = 816, \quad \sum v = 156, \quad \sum v^2 = 2240, \quad S_{hh} = 960, \quad S_{hv} = -384n=12,∑h=816,∑v=156,∑v2=2240,Shh​=960,Shv​=−384

a.

Calculate the product moment correlation coefficient between hhh and vvv.

[3]
b.

Give an interpretation of your product moment correlation coefficient in the context of the study.

[1]
c.

Find the equation of the least squares regression line of vvv on hhh in the form v=a+bhv = a + bhv=a+bh.

[4]
d.

Give an interpretation of the value of bbb in your regression line.

[1]
e.

(i) Use the regression line from part (c) to estimate the visibility for a day with relative humidity of 90%90\%90%.

(ii) Comment on the reliability of your answer in part (i) given that the range of relative humidities in the sample was 52%52\%52% to 84%84\%84%.

[2]
f.

Using the regression line from part (c), the meteorologist estimates that for a humidity decrease of x%x\%x%, there will be an increase of 888 km in horizontal visibility.

Find the value of xxx.

[2]

Regression, Correlation and Hypothesis Testing Questions

Practise Edexcel A Level Maths Regression, Correlation and Hypothesis Testing with exam-style questions for A Level Maths. 100 questions covering Exponential Models, Measuring Correlation, and Hypothesis Testing for Zero Correlation, matched to the Edexcel A Level Maths (9MA0) specification and written in Paper 1, Paper 2 and Paper 3 style. Every question includes a full worked solution and mark scheme, so you can see where marks are awarded rather than just whether you got the answer right.

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Regression, Correlation and Hypothesis Testing Questions

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