Writing Reasonable Linear Functions and Making Predictions

Vocabulary and key conceptual flashcards covering linear modeling and making predictions from scatter plots and survey data.

Best Linear Model for Little League Hits

The equation $y = 5x + 10$, which best fits the player experience versus hits scatter plot because the alternatives had a negative slope, a slope that was too low, or a y-intercept that was too low.

Predicted Hits for $2$ Years of Experience

About $20$ hits, as estimated from the Little League player scatter plot data.

Predicted Years of Experience for $50$ Hits

About $8$ years of experience, based on the Little League player hits scatter plot.

Polk High School Linear Model Equation

The function $y = -0.9x + 8$, modeling the relationship between hours spent streaming and hours spent outside each day.

Slope ($m$) of the Polk High School Model

$-0.9$, representing the rate of change in hours spent outside per hour spent streaming.

Y-intercept ($b$) of the Polk High School Model

$8$, representing the initial or base number of outdoor hours when zero hours are spent streaming.

Predicted Outdoor Hours for $4$ Hours Streaming

About $4.4$ hours outdoors, calculated using the linear model equation.

Predicted Streaming Hours for $3$ Hours Outdoors

About $5.3$ hours on streaming sites, determined using the Polk High School survey model.