How to draw scatterplot matrix of following variables? Variable x: Murder rate from 1994 to 2013:...
How to draw scatterplot matrix of following variables?
Variable x: Murder rate from 1994 to 2013: 4.5,4.7,4.7,4.8,5.0,5.4,5.5,5.5,5.6,5.6,5.6,5.7,5.7,5.7,5.8,6.3,6.8,7.4,8.2,9.0
Mean: 5.875, Variance: 1.29688
Variable y: Rape rate from 1994 to 2013: 25.2,27.0,27.1,27.7,29.1,29.8,30.6,31.6,31.8,31.8,32.0,32.3,32.4,32.8,33.1,34.5,35.9,36.3,37.1,39.3
Mean: 31.87, Variance: 12.5101
Variable z: Assualt rate from 1994 to 2013: 229.1,241.5,242.8,252.8,264.7,277.5,287.2,288.6,290.8,292.0,295.4,309.5,318.6,324.0,334.3,361.4,382.1,391.0,418.3,427.6
Mean: 311.46, Variance: 3239.74
Further compute the Least-Squares Regression Lines..
Homework Answers
Sorry for the inconvenience.. Scatter plot matrix also very easy in excel.
As like matrix we have to prepare three combination of scatter plot . first Y,Z , next X,Z and finally X,Y.
Format Axis values and adjust where exactly the valu starts for all the combination of charts/
After all three combination you can remove x and y axis for all the three charts.
Finally scatter plot matrix will be looks like below
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How to draw scatterplot matrix of following variables?
Variable x: Murder rate from 1994 to 2013:...
Given below are four observations collected in a regression study on two variables x (independent variable)...
Given below are four observations collected in a regression study on two variables x (independent variable) and y (dependent variable). *NOOO a. Develop the least squares estimated regression equation. b. At 95% confidence, perform at test and determine whether or not the slope is significantly different from zero. C. Perform an F test to determine whether or not the model is significant. Let a = 0.05. d. Compute the coefficient of determination.
Imagine that the linear correlation between variables X and Y is r = 0.35. Further imagine...
Imagine that the linear correlation between variables X and Y is r = 0.35. Further imagine that the mean of variable X is 4 and that the mean of variable Y is 6. If we correctly calculated a simple linear regression equation to predict values of Y (based on the corresponding value of X), how much error could we remove from our predictions, relative to just guessing the mean of Y = 6 for everyone in the data set?
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I will rate, please help!!!
Consider the following data concerning the demand (y) and price (x) of a consumer product. Demand, y Price, x 247 230 $2.06 $2.20 $2.47 $2.67 $2.88 $2.96 253 244 220 235 Type the data into Minitab as two COLUMNS (labeled Y (demand) and X (price)). Create a scatterplot to see the relationship between demand and price (a) From the plot, does it seem reasonable to use the simple linear regression model to relate y to...
Given below are four observations collected in a regression study on two variables x (independent variable) and y (dependent variable). *NOOO a. Develop the least squares estimated regression equation. b. At 95% confidence, perform at test and determine whether or not the slope is significantly different from zero. C. Perform an F test to determine whether or not the model is significant. Let a = 0.05. d. Compute the coefficient of determination.
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
Bivariate Fit of NONFOOD PURCHASES By AGE 90 80 70 60 50 40 30 20 20 30 40 50 60 AGE -Linear Fit Linear Fit NONFOOD_PURCHASES = 12.956633 0.8136836 AGE Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.33852 0.336478 11.54086 39.1842 326 Lack Of Fit Analysis of Variance Sum of Source DF Squares Mean Square F Ratio 22084.6 165.8106 133.2 Prob > F .00011 Model 1 22084.562 Error 324 43154.032...
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I will rate, please help!!!
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