Question

In: Statistics and Probability

A study is conducted to determine the relationship between a driver's age and the number of...

A study is conducted to determine the relationship between a driver's age and the number of accidents that he or she has had over a 1-year period.

The data from this study is in the table:

Age 16 24 18 17 23 27 32

Accidents 3 2 5 2 0 1 1

The correlation coefficient for this problem is

There is/ is not evidence of significant correlation at the 5% significance level

The best estimate for the number of accidents a 20-year old driver has in 1 year is

Solutions

Expert Solution

Observation table -

Sr. No. Age(x) Accidents(y) (x-x_bar) (y-y_bar) (x-x_bar)(y-y_bar) (x-x_bar)^2 (y-y_bar)^2
1 16 3 -6.4286 1 -6.4286 41.3269 1
2 24 2 1.5714 0 0 2.4693 0
3 18 5 -4.4286 3 -13.2858 19.6125 9
4 17 2 -5.4286 0 0 29.4697 0
5 23 0 0.5714 -2 -1.1428 0.3265 4
6 27 1 4.5714 -1 -4.5714 20.8977 1
7 32 1 9.5714 -1 -9.5714 91.6117 1
Total 157 14 - - -35 205.7143 16

Formula for correlation coefficient is -

Calculations -

Hence, the correlation coefficient between age and accidents is -0.6101.

Now, we have to test that correlation coefficient is significant or not. We use t-test for significance of correlation coefficient.

Null hypothesis - H0 : Correlation coefficient is not significant, i.e. = 0.

Alternative hypothesis - H1 : Correlation coefficient is significant. i.e. 0.

Test statistic -

Test criterion -

Reject H0 if t t/2,n-2 or  -t -t/2,n-2 .

Calculations -

r = -0.6101, n = 7

Critical value -

t/2,n-2 = t0.05/2,7-2 = t0.025,5 = 2.5706

Conclusion -

-t (-1.1003) > -t/2,n-2 (-2.5706), hence H0 is accepted at 5% level of significance.

Result -

There is no significant correlation between age & accidents.

Now, we have to find out the best estimate for the number of accidents a 20 year old has in 1 year -

Let, linear regression equation be -

Y = a + bX

Where,

a = - b

Calculations -

a = - b = 2 - (22.4286)(-0.1701) = 2 + 3.8159 = 5.8159

linear regression equation is -

Y = a + bX = 5.8159 - 0.1701X

the best estimate for the number of accidents a 20 year old has in 1 year =

Y = 5.8159 - 0.1701X  = 5.8159 - 0.1701(20) = 5.8159 - 3.402 = 2.4139 2

Hence, the best estimate for the number of accidents a 20 year old has in 1 year is 2.

Note : t-table provided below.


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