Exploring Scatter Plots and Line of Best Fit

What is the first step to perform before starting linear regression on a calculator?

• Clear the calculator's memory

• Change the calculator's mode

• Turn off the calculator

• Input the data directly

What key sequence is used to reset the calculator's memory?

• STAT + CLR

• ALPHA + ENTER

• 2ND + MODE

• 2ND + PLUS

In linear regression, what does the 'x' variable typically represent?

• Independent variable

• Y-intercept of the line

• Slope of the line

• Dependent variable

How do you enter the 'y' values in the calculator for linear regression?

• In list L1

• Directly after entering x values in L1

• In list L2 after entering x values in L1

• Using the ALPHA key

What does the 'LinReg' function in the calculator do?

• Graphs the data points

• Solves linear equations

• Calculates the mean of a dataset

• Finds the line of best fit for a dataset

What is the purpose of rounding the slope and y-intercept in the line of best fit?

• To simplify calculations

• To ensure accuracy

• To make the equation easier to graph

• Because the calculator cannot display many decimal places

How do you clear lists in the calculator before starting a new linear regression?

• Use the 'Clear' function under the 'Stat' menu

• Turn the calculator off and on

• There's no need to clear lists

• Manually delete each entry

What is the significance of changing years into numbers for linear regression?

• To simplify the interpretation of the slope

• To fit the calculator's limitations

• It's a required step for all linear regression problems

• To decrease computational time

Why can't we have parts of a bag or person when interpreting the results of linear regression?

• Because it's mathematically incorrect

• Due to limitations of the calculator

• It doesn't make logical sense in real-world scenarios

• Because the linear regression model is only approximate

What does the 'y' value represent in the context of linear regression?

• The predicted value based on the model

• The slope of the line

• The error in the data

• The exact value from the dataset