A restaurant uses y=1.8x+22 to model daily sales y, in hundreds of dollars, from temperature x, in degrees. What is the predicted sales when x=70?
For y=1.8x+22, what does the slope mean in context?
The restaurant model predicts 148 hundred dollars in sales, but actual sales are 152 hundred dollars. What is the residual?
A scatterplot shows points that rise quickly at first and then level off. Which model choice is most reasonable?
Which correlation coefficient best matches a weak negative linear relationship?
The table shows transportation and on-time arrival. What percent of bus riders arrived on time?
Transportation and arrival
| Transportation | On time | Late | Total |
|---|
| Bus | 42 | 18 | 60 |
| Car | 36 | 4 | 40 |
| Total | 78 | 22 | 100 |
Using the transportation table, which conclusion is best?
Transportation and arrival
| Transportation | On time | Late | Total |
|---|
| Bus | 42 | 18 | 60 |
| Car | 36 | 4 | 40 |
| Total | 78 | 22 | 100 |
A data set models phone battery percent for the first 8 hours after charging. Which prediction should be treated with the most caution?
A residual for a house price model is -12000. What does this mean?
Which line of best fit is usually best for a scatterplot with a positive linear trend?