Question 1
For the following scatterplot, what effect would the outlier have on the slope of the regression equation?
Explain your reasoning.
Question 2
The data in the table represent the amount of pressure (psi) exerted by a stamping machine (
x), and the amount of scrap brass shavings (in pounds) that are collected from the machine each hour (
y). Also shown below are the outputs from two different statistical technologies (TI-83/84 Calculator and Excel). A scatterplot of the data confirms that there is a linear association. Report the equation for predicting scrap brass shavings using words such as scrap, not
x and
y. State the slope and intercept of the prediction equation. Round all calculations to the nearest thousandth.
◦ scrap = 2.134 - 2.019(pressure); slope = 2.134 and the intercept is -2.019.
◦ scrap = -2.019 + 2.134(pressure); slope = -2.019 and the intercept is 2.134.
◦ scrap = 2.134 - 2.019(pressure); slope = -2.019 and the intercept is 2.134.
◦ scrap = -2.019 + 2.134(pressure); slope = 2.134 and the intercept is -2.019.
Focusing Jets by Pressure
Terminals 85 and 86 represent the coil inside the relay. Terminal 30 is the power terminal, 87a is ...
Acquiring Weather Data
Wet table and Vichy shower in a wet room.
Pressure
At 34.5°C, oxygen gas expands from 34.5 L to 45.7 L against a constant pressure of 750 mmHg. ...