Consider the following time series data of sales per year: year sales 1995 22.2 1996 23.0 1997 24.4 1998 25.8 1999 27.6 enter these data in excel and run the following regression: sales = intercept + slope * year note that the year is the independent variable and sales is the dependent variable. a 95% confidence interval for the slope is:
a. (-3233.88, -2068.92)
b. (1.04, 1.68)
c. (0.80, 1.88)
d. (0.92,1.76)
e. (-3482.53,-1820.27)

b. (1.04, 1.68)

Step-by-step explanation:

Hello!

With the given data I've estimated the regression line

Y: Sales

X: Year

Yi= -2691.32 + 1.36Xi

Where

a= -2691.32

b= 1.36

The 95% CI calculated using the statistic b±*(Sb/√n) is [1.04;1.68]

I hope it helps.

1,8,15,22,29,36,43,50

step-by-step explanation:

hello,

b) 62.47% of the students are between 14 and 18 years old.

step-by-step explanation:

mean = 15 and standard deviation = 2

student between 14 to 18

formula used z-score

for age 14 , z score

using z-table , p(z> -0.5)=0.3085

for age 18 , z score

using z-table , p(z< 1.5)=0.9332

p(-0.5< z< 1.5)=0.9332-0.3085 = 0.6247

thus, 62.47% of the students are between 14 and 18 years old.

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