Researchers are conducting a study in an attempt to establish a linear relationship between the number of online music video views and the number of guitar sales. A computer output for regression is shown and is based on a sample of seven observations. Predictor Coeff St. Dev t Ratio p-Value
Constant 7.85671094 1.316226455 5.969118 0.001889
Music Video Views 0.094781123 0.027926367 3.393965 0.019378

What represents the 99% confidence interval for the slope of the regression line?

Step-by-step explanation:

For this case we have the following output:

Predictor  Coeff            St. Dev           t Ratio      p-Value

Constant  7.85671094 1.316226455 5.969118 0.001889

Music Video Views 0.094781123 0.027926367 3.393965 0.019378

For this case the slope of the regression we have:

We assume that the standard error is:

The confidence interval would be given by:

The degrees of freedom are given by:

And the critical value using a significance level of is:

And replacing we got;

mean, 40.6

step-by-step explanation:

answer: c, the green line

step-by-step explanation:

there is no black line, eliminate b.

simple interest implies periodic payments, but the red line shows no payments, eliminate d.

simple interest has equal payments. if paid say every day, the graph is about a straight line (actually a stairstep).

the yellow line is not straight, eliminate a.

check: the green line is straight, answer is c.

simple interest with positive interest rate gives a straight line sloping up to the right. green line:

g(t) = $100 + ($200-$100) ÷ (20 years) × (t years)

= $100 + (4%/year) × ($100)(t years)

incidentally, the yellow line curving upward represents continuously compounded interest

y = $100 × 2^(t years / (14 assuming the yellow line hits $200 at 14 years. 2^0 is 1, so y(0) = $100; 2^(14/14) is 2, so y(14) = $200.