Polynomial Fitting and Data Analysis

The video tutorial explains how to work with Consumer Price Index (CPI) data from 1972 to 2000. It covers entering data points into a list, fitting a quadratic polynomial to the data, and predicting the CPI for the year 2010. The tutorial demonstrates using a mathematical approach to analyze and visualize data trends over time.

What is the base year set for the data points in the video?

• 1970

• 1972

• 2010

• 2000

What is the significance of the year 1970 in the data?

• It is the year of prediction

• It is the base year for calculations

• It is the year with the highest CPI

• It is the year with the lowest CPI

What is the Consumer Price Index value for the year 1970?

• 38.8

• 53.8

• 107.6

• 82.4

How many years after 1970 is the data point 5, 53.8?

• 5 years

• 10 years

• 15 years

• 20 years

What is the last data point entered in the list?

• 25, 152.4

• 15, 107.6

• 30, 172.2

• 20, 130.7

What notation is used to create a list of data points?

• Angles with slashes

• Parentheses with colons

• Brackets with semicolons

• Braces with commas

What type of polynomial is used to fit the data points?

• Linear

• Cubic

• Quartic

• Quadratic

What is the degree of the polynomial used for fitting?

• Third degree

• First degree

• Fourth degree

• Second degree

What is the purpose of changing the window in the grid?

• To see the points more clearly

• To change the data points

• To delete the list

• To adjust the polynomial

What is the predicted Consumer Price Index for the year 2010?

• 2017.04

• 172.2

• 152.4

• 130.7