Answer-
Exponential regression line is the best fit for the data.
Solution-
Taking
x = input variable,
y = output variable.
Taking the data from the table, regression models were generated using Excel.
As shown in the attachments, the co-efficient of determination (R²) is maximum for Exponential Regression model or more closer to 1.
As,
The more closer the value of R² to 1, the better the regression model and the best fit line is.
In general also, when we consider growth or decay, we follow the exponential function approach.
Therefore, the exponential regression models should be followed and so exponential regression line is the best fit for the data.
Hey there!
4^3 * 5^3 = ?
4^3
= 4 * 4 * 4
= 16 * 4
= [64]
5^3
= 5 * 5 * 5
= 25 * 5
= [125]
125 * 64
= [8,000]
20^3
= 20 * 20 * 20
= 400 * 20
= 8,000
8,000 = [8,000]
Therefore, this statement is TRUE so your answer is: [YES]
Good luck on your assignment and enjoy your day!
~Amphitrite1040:)
Answer:
Yes
Step-by-step explanation:
4³ × 5³
(4 × 5)³
=20³
Both are equivalent