Please i need help with my homework. For problem 1 I found the Pearson but the rest I keep getting wrong. Problem 2 as well.

• The table below has the number of days since an infection started and how many people have been infected in total.

Days after infection startedPeople infected

5 45

9 83

14 141

20 192

22 203

25 231

27 249

29 281

30 284

• Find the Pearson coefficient (3 decimals) .998
• Look at the graph for problem 1 and also at r, do you expect it to have a strong correlation between the two values?(yes/no)yes

Using the data from problem 1 to give the best predicted value for how many days it will take to reach 300 people infected.)

If you need the equation round it up to 3 decimals before you plug in the number.

If you need to give the mean round it off to 3 decimals.

• P=
• I should(plug in x/give the mean of the y's) since P is(bigger/smaller)
• The best predicted value isdays (3 decimals)

Problem 2

9 students were surveyed to see what their age is and what their income level is.Find the equation of the line using linear regression. We want to predict their age using their income.

ageincome

18456

24786

38835

22855

19645

35244

28587

191400

27975

Just a side note, the 19 year old is making 1400, would be considered an outlier since they are making way more than everyone else.

• (y=-.0061x+34.9874 4 decimals)

Using the data from 4 give the best estimate for someone's age if theirincome is $1000.

• The P value is
• I need to(plug in the number to the equation/find the mean for y)
• The answer is

Test the claim that there is no correlation between the data in 4. (Remember the hypothesis test it doesn't matter which one is x or y)

• Claim:(correlation/no correlation)
• H0:(correlation/no correlation)
• HA:(correlation/no correlation)
• P=(3 decimals)
• P is(big/small)
• (reject/fail to reject)H0
• The data(rejects/fails to reject/supports/fails to support) the claim