i need the problem i booked marked done please: Using the least-squares line to

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i need the problem i booked marked done please: Using the least-squares line to make predictions

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Question: Experienced observers use aerial survey methods to...

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2. Using the least-squares line to make predictions Aa Aa Experienced observers use aerial survey methods to estimate the number of snow geese in their summer range area west of Hudson Bay, Canada. A small aircraft flies over the range, and when a flock of geese is spotted, the observer estimates the number of geese in the flock. To investigate the reliability of the estimates, an airplane carrying two goose observers flies over 45 flocks. Each observer makes an independent estimate of the number of geese in each flock. A photograph is taken of each flock and a count made of the number of geese in the photograph. The sample data for the 45 flocks appear in the Dataview tool. [Data source: These data were obtained from Lunneborg, C. E. (1994) Modeling experimental and observational data. Pacific Grove, CA: Duxbury Press. Data Set Simple Linear Regression Regression Equation Photo 16.164 0.7691 B Estimate Covariance 8,577 Correlation Coefficient 0.925 Variable Measures Variable Units Standard Deviation Mean BEstimate 89.311 87.848 Scatter Point Size 95.1 105.6 ANOVA Analysis of variance Test Degrees Mean of Variation of Squares Square 290,227 290,227 253.0 49,333 1,147 Total 339,560 You will work with goose observer B's estimates in this problem to examine how well observer B's estimates predict counts from the associated photographs for the same flock. The photographs provide a highly accurate count of geese optimally, the observer's estimate would predict the photo-based count for a specific flock. First, use the regression equation to predict Y values based on observer B's estimates. The regression equation, in the format Y'- brX 0.77X 16.16 where X goose observer B's estimate Y an estimate of the goose count from the photograph In this problem, Y is the actual count of geese in the photograph Note: The least-squares regression line can also be obtained by going to the Comelation section in the DataView tool, specifying the proper dependent and independent variables, and clicking on the Linear Regression button. Find the predicted Y values for the flocks 5, 21, and 44. Y for flock 5 is Y for flock 44 is Y for flock 21 is You will need to use the Observations list in the DataView tool ntify goose observer B's es atefor the appropriate ick on the observations button in the tool, and scroll to the appropriate flock number Calculate the prediction errors (Y -Y)for the flocks identified. The prediction error for flock 5 is The prediction error for flock 21 is The prediction error for flock 44 is

Explanation / Answer

Predicted value for 5 is =0.77*5+16.16=20.01

Predicted value for 5 is =0.77*21+16.16= 32.33

Predicted value for 5 is =0.77*44+16.16= 50.04

You did not gave us data. From data see the values of Y when x=5,21,44 , say , these are y5,y21,y44, then

Prediction error for 5 is =y5-20.01

Prediction error for 21 is =y21-32.33

Prediction error for 44 is =y44-50.04

Here put y5,y21,y44 and get the errors

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