A statistics practitioner in a large university is investigating the factors that affect salary of professors. He wondered if evaluations by students are related to salaries. To this end, he collected 100 observations on:y = Annual salary (in dollars)x = Mean score on teaching evaluationTo accomplish his goal, he assumes the following relationship:y = β(0) + β(1)x + ε Then, using Data Analysis, he obtained the following result. R2=0.23 Coefficient Standard Error Intercept 25675.5 11393x 5321 2119Required:What are the null and alternative hypotheses, respectively?

Complete Question

The complete question is shown on the first uploaded image

The null hypothesis is  

 The alternative hypothesis is  

Step-by-step explanation:

From the question we are told that

        The number observations is  

         The  annual salary (in dollars) is  y

          The  mean score on teaching evaluation is  x

          The the relationship between the y and  x is

Where   is the mean of the equation so

  The null hypothesis is  

   The alternative hypothesis is  

step-by-step explanation:

75

step-by-step explanation:

you do x-29=46 (the number of cantaloupes sold)

in order to find x, you have to find what minus 29 equals 46, meaning you'd have to add 29 to 46.

29+46=75

if you replace x with 75, the equation looks like:

75-29=46

x=75