Is the function in the table linear or nonlinear and why?

x : -2, 0, 2, 4, 6

y : 5, 10, 15, 20, 25

a) the function is linear because the y-intercept is 0.

b) the function is linear because there is a constant rate of change.

c) the function is linear because all the y values are positive.

d) the function is not linear because there is a negative x value

For a science project, a high school research team conducted a survey of local air temperatures. based on the results of the survey, the found that the average temperatures were around 10 degrees higher than expected. this result was wrong. the trouble with the survey was that most of the locations were exposed to direct sunlight and located over asphalt or sand, which resulted in higher temperatures than normal. this is a classic example of an error in which phase of inferential statistics?