Lab Assignment 4 A sports psychologist believes that amount of practice is related to performance. She measures the hour

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Lab Assignment 4 A sports psychologist believes that amount of practice is related to performance. She measures the hour

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Lab Assignment 4 A Sports Psychologist Believes That Amount Of Practice Is Related To Performance She Measures The Hour 1
Lab Assignment 4 A Sports Psychologist Believes That Amount Of Practice Is Related To Performance She Measures The Hour 1 (53.38 KiB) Viewed 63 times
Lab Assignment 4 A Sports Psychologist Believes That Amount Of Practice Is Related To Performance She Measures The Hour 2
Lab Assignment 4 A Sports Psychologist Believes That Amount Of Practice Is Related To Performance She Measures The Hour 2 (36.85 KiB) Viewed 63 times
Lab Assignment 4 A sports psychologist believes that amount of practice is related to performance. She measures the hours of basketball free-throw practice time of several players, and then free-throw performance in a game. The data are as follows: #of shots made Practice Time 0 1 2 2 3 merce 1 1 1 2 3 3 4 2 3 4 Use SPSS to compute the regression equation for the above data. Include your output file, as well as your answers to the questions below. After you input the data choose Regression from the menu, and then Linear. Remember that the independent variable is the predictor variable (practice). and the dependent variable is the criterion variable (shots made). When using SPSS this time you will enter the data in separate columns as they appear above. Put the X-variable in the VARI column and put the Y-variable in the VAR2 column. We do it this way because we have an X and Y value for each participant in our data. You MUST submit a Word document where you write the equation for the line that predicts number of shots made from amount of practice time and answer the following questions!!! Look at the unstandardized coefficient section at the very bottom of your output. The constant" listed there under B is the y-intercept. The slope is under B next to your first variable (VAROI). Input these two numbers into the generic equation (y = bx + a) to write the equation of the line. 2. Predict the number of shots made if someone had 3 hours of practice 3. How much we expect our answer in #2 to be in error (look for the standard error of the estimate in the "Model Summary" section of your output
Untitled DataStopOMS Date File Ede View Dala Transformare Graph Extension Window Help a VV practicetime number dshot Var 100 100 Wies 1 2 3 Window Extension 100 5 100 200 200 3.00 400 4.00 400 500 200 300 300 400 Opus Document MSPSS Stics View Ele View Date Time Forma de Graphe 土 out ILOG Regression Igression Variables EnterediRemoved No Vrati Erremoved Vas - Mode med ANOVA Da a Danmar AN 7 200 300 9 10 11 12 Model Summary 1 13 16 17 Wom R 616 Catwa TOS 19 20 20 ANOVA IBM SPSS Procesoria Uden Data View Variate BM SPSS Social Ucode ON
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