Exponential Regression Practice

Exponential Growth occurs when a quantity increases by a consistent percentage over a period of time, resulting in a rapid increase. Example: A population that doubles every year.

Exponential Decay occurs when a quantity decreases by a consistent percentage over time, leading to a rapid decrease. Example: A radioactive substance losing half its mass every year.

The general form is f(x) = a(b)^x, where 'a' is the initial value, 'b' is the growth (b > 1) or decay (0 < b < 1) factor.

Exponential growth graphs curve upwards, showing a rapid increase as x increases.

Exponential decay graphs curve downwards, showing a rapid decrease as x increases.

Linear functions increase or decrease by a constant amount, while exponential functions increase or decrease by a constant percentage.

The base 'b' represents the growth (b > 1) or decay (0 < b < 1) factor in the function.

The formula is A = P(1 + r)^t, where A is the amount, P is the principal, r is the rate, and t is the time.

A linear regression equation models the relationship between two variables by fitting a linear equation to observed data.

The slope indicates the rate of change of the dependent variable with respect to the independent variable.