Use the standard error to construct a approximate prediction interval for Yusing an alpha of 5%. (Round your answer to 2 decimal places.) Prediction interval for Y: ŷ± Based on the width of this prediction interval, would you say the predictions are good enough to have practical value? Yes O No

Use the of to calculate the 80% of a who studied The and test for 6 in Phelp 2. Use the margin of error to calculate the 80% prediction interval of a student's score who just 2 hours. 7th grade math class. Test Score y Hours Studied r 65 5. 71 9. 78 7. 82 8. 86 6. 94 1. Regression Equation: ŷ = 5.543x + 37.762 The standard error of estimate Se = 1.13 %3D355 (7) pue g = (x) The estimated score will be between A. 48.848 and 51.796 with a margin of error of 2.838 B. 46.010 and 51.686 with a margin of error of 2.838 C. 40.357 and 46.253 with a margin of error of 2.948 D. 45.900 and 48.848 with a margin of error of 2.768 E. 45.900 and 51.796 with a margin of error of 2.948

Please do & explain with steps: Subparts e f & g please & thank u

Please help to find the correct EXCEL FORMULA for the t-value. Please make sure to give the correct EXCEL FORMULA. Thanks!

4

This is a probability and statistics class please help me get this correct so I can study

2 A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.269 b=38.42 2-0.839056 r=-0.916 Use this to predict the number of situps a person who watches 5.5 hours of TV can do (to one decimal place) Question Help: Video Message instructor Submit Question Jump to Answer MacBook Air 80 888 F4 W S *3 # E D $ 4 C R F % 5 F5 V T () > 6 G Y B & 7 Ja F7 H U 2 00 8 N Dil FB 9 K M

Find the regression​ equation, letting overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.8 cm. Can the prediction be​ correct? What is wrong with predicting the weight in this​ case? Use a significance level of 0.05.   a. The regression equation is Modifying Above y with caret equals   plus      x. ​(Round to one decimal place as​ needed.)   b. The best predicted weight for an overhead width of 1.8 cm is   ​(Round to one decimal place as​ needed.)

A regression was run to determine if there is a relationship between hours of study per week (2) and the final exam scores (y). The results of the regression were: y=ax+b a=5.246 b=35.42 r2=0.781456 r=0.884 Use this to predict the final exam score of a student who studies 1.5 hours per week, and please round your answer to a whole number. Hìnt: Help Question Help: ☺ Message instructor Submit Question to search

Z score of 0.045