You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places.Driver AgeNumber of Driver Deaths per 100,00060355523223240364018383380283725 Ho: ρ = 0Ha: ρ > 01/The p-value leads to a decision toReject HoDo Not Reject HoAccept Ho 2/The conclusion is There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths.There is a significant positive linear correlation between driver age and number of driver deaths.There is a significant linear correlation between driver age and number of driver deaths.There is a significant negative linear correlation between driver age and number of driver deaths.please choose correct answer in each question 1 and question 2

Correlation is used to measure the strength of association between the two categorical variable. The correlation value ranges from - 1 to +1. If the correlation value is 1, there exist perfect positive correlation. If the correlation value is -1, there exist perfect negative correlation. If the correlation value is 0, then there exist no correlation. It is denoted as r.Given : The age of the driver and the number of drivers' death per 100,000: Driver Age (x) Number of Driver Deaths per 100,000 (y) x2 y2 xy 60 35 3600 1225 2100 55 23 3025 529 1265 22 32 484 1024 704 40 36 1600 1296 1440 40 18 1600 324 720 38 33 1444 1089 1254 80 28 6400 784 2240 37 25 1369 625 925 ∑x=372 ∑y=230 ∑x2=19522 ∑y2=6896 ∑xy=10648 From the table, the correlation value is calculated as follows: r=n∑xy-∑x∑yn∑x2-∑x2n∑y2-∑y2=8×10648-372×2308×19522-37228×6896-2302=-37617792×2268=-0.0592 Thus, correlation value is -0.0592.Claim: There exists a positive relationship between driver age and the number of drivers' death per 100,000. Let the null and alternate hypothesis be as follows: H0 : ρ=0H1 : ρ>0 The level of significance is 0.05. Test statistic: t=r1-r2×n-2=-0.05921--0.05922×8-2=-0.1453 Test statistic, t=0.1453. The p value at 0.05 level of significance with n-2=6 degree of freedom for the test statistic is 0.4446 (one tailed). Since the p value is greater than 0.05, the null hypothesis is failed to be rejected. Hence, there exists no positive relationship between driver age and the number of drivers' death per 100,000. There is a significant negative linear correlation between drivers' age and the number of driver deaths. Option D is correct. Incorrect answers: Option A: There is insufficient evidence that it is wrong. Option B: Since the correlation value is negative, there exists no positive correlation. Option C: We are not checking linearity.