How to find residual statistics
[DOC File]Using Spreadsheet to determine value using Residual Income ...
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Finding the Data – Key Statistics. Click on ‘Key Statistics’ under ‘Company’ in the left-hand menu. Next, scroll down the page to ‘Balance Sheet’ where you will find ‘Book Value per Share’ = $27.55 in the most recent quarter (mrq). Under ‘Dividends & Splits,’ you will also find ‘Annual Dividends’ per share = none.
[DOC File]Worksheet on Correlation and Regression
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Use Stat > Regression > Regression to find the regression equation AND make a residual plot of the residuals versus the explanatory variable. To make the residual plot, use “Graphs” and then type in the name of the explanatory variable. At home: Read Chapter 5 and work the problems at the end of each short section as you go through them.
[DOC File]Statistics Review Chapters 1-8
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Find the residual for 195 calories. The point (x-bar, y-bar) is always on the LSRL. Find this point, and label it on your scatterplot. Find the standard deviation of the calories. Find the standard deviation of the sodium. Using the equations on page 140, verify the slope and intercept of the LSRL. Find the coefficient of determination for this ...
[DOC File]Influence Statistics and Outliers
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Influence Statistics, Outliers, and Collinearity Diagnostics. Studentized Residuals – Residuals divided by their estimated standard errors (like t-statistics). Observations with values larger than 3 in absolute value are considered outliers. Leverage Values (Hat Diag)
[DOC File]Statistics Linear Regression Worksheet
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a) Find the least squares regression line. State the equation below and interpret the slope and y-intercept. b) Find and interpret the value of r2. c) Create a residual plot on your calculator. What does this plot tell you about a linear model for this data? How do you know? d) Find and interpret the residual …
[DOC File]Name:
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2. Find the LSRL and correlation coefficient. (Round to 4 decimal places) = _____ r = _____ 3. Use the LSRL to calculate the predicted (fitted) value for each x-value. Fill in the chart above. 4. Calculate the residuals and fill in the chart above. 5. Create a residual plot by plotting a scatterplot of the 6.
[DOC File]Plots of Residuals
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Residual-Skew.dat. and . Residual-Hetero.dat. from my StatData page and ANOVA1.sav from my SPSS data page. Each line of data has four scores: X, Y, X2, and Y2. The delimiter is a blank space. Create new variable SQRT_Y2 this way: Transform, Compute, OK. First some descriptive statistics …
[DOC File]AP Statistics - Math For Life
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A residual has no meaning since one of the variables is categorical. A study of the fuel economy for various automobiles plotted the fuel consumption (in liters of gasoline used per 100 kilometers traveled) vs. speed (in kilometers per hour). A least-squares regression line was fitted to the data and the residual plot is displayed to. The right.
[DOC File]AP Statistics
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The residual plot confirms the linearity of the data. The residual plot suggests a different line would be more appropriate. The residual plot clearly contradicts the linearity of the data. None of the above. The coefficient of determination of the data described in the scatterplot is: 0.35 0.65 -0.80 0.88 use the calculator to determine.
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