Develop a simple linear regression model to predict a vehicle's highway fuel efficiency (Hwy FE - Conventional Fuel) based upon number of cylinders (# Cylinders) using a 95% level of confidence. a. Write the regression equation b. Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence. c. Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence. d. Interpret the coefficient for the independent variable. e. What percentage of the observed variation in highway fuel efficiency that is explained by the model? f. Predict a vehicle's highway fuel efficiency that has 6 cylinders using your equation from part a.

step-by-step explanation:

f

since proposition states that a number is greater than 25, if is true then the number must actually be greater than 25.

this implies that all possible options, except 24, can be accepted

options a,b,c are the right answer.

step-by-step explanation:

a linear parent function is always represented as y = x

if we write this function in the form of y=mx+c

⇒

or  

now if we plot a graph we will find these characteristics:

1) y intercept of the graph is zero so its a straight line passing through origin.

2) as we can see in both the forms of function written, values of x and y may be either positive or negative for the positive slope means points on the graph are either in first quadrant or in third one.

3) it's slope is one.

the highest percentage for deaths in construction from highest to lowest is as follows: falls, struck by objects, electrocution, and caught-in/between. these four are collectively known as fatal four.

in the case of falls, the type that is responsible for the overall highest death in the category is falls from roofs.