Write a scenario that could work for the following line of best fit: y = 0.2x + 7.6. Explain the slope and intercept in this context.
Answers
the equation means that we have a fixed value of 7.6 initially. and it's increasing linearly by the rate (that is slope) of 0.2
the intercept 7.6 shows initial value of y which is our function or initial asset which is dependent on independent variable x and is increasing with respect to x by the rate of 0.2
now let's take an example,
let x be time and y be air pullution index of a City.
initially when we started to record, the value was say 7.6,
now with time , there's a linear increase in pullution index with respect to time. hence we may define air pullution index as a function of time with increasing rate of 0.2 that is the slope.
if slope was negative, it would have been the rate of decrease of our function.
I hope you got it.
if not, you may discuss about it further