This study aims to find the correlation between the number of weeks of gestation and the weight of the baby at birth. The data consists of a sample of 15 births. It takes the number of weeks of gestation as the x variable of the plot and the weight of the baby at birth as the y variable. We are using MS Excel 2016 for analyzing this data. The data is as follows: Gest.P(we Wt (gm) 38 2940 38 3130 36 2420 34 2450 39 2760 35 2440 40 3226 42 3301 37 2729 40 3410 36 2715 39 3095 39 3130 39 3244 35 2520 1) Using the analysis of variance ANOVA output obtained from the print output calculate the coefficient of determination of the data and provide an interpretation of this quantity. State the null hypothesis and alternative hypothesis for the above model. Should the null hypothesis be rejected?

This study aims to find the correlation between the number of weeks of gestation and the weight of the baby at birth. The data consists of a sample of 15 births. It takes the number of weeks of gestation as the x variable of the plot and the weight of the baby at birth as the y variable. We are using MS Excel 2016 for analyzing this data. The data is as follows: Gest.P(we Wt (gm) 38 2940 38 3130 36 2420 34 2450 39 2760 35 2440 40 3226 42 3301 37 2729 40 3410 36 2715 39 3095 39 3130 39 3244 35 2520 1) Using the analysis of variance ANOVA output obtained from the print output calculate the coefficient of determination of the data and provide an interpretation of this quantity. State the null hypothesis and alternative hypothesis for the above model. Should the null hypothesis be rejected?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. I 11.7 8 6.8 3.6 2.3 2.5 2.5 0.4 y 13.7 11 9.8 I= thousands of automatic weapons 7.4 6.2 6.2 4.2 y = murders per 100,000 residents This data can be modeled by the equation y = 0.84x + 4.11. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Use the equation with the values rounded to two decimal places to make your predictions. A) How many murders per 100,000 residents can be expected in a state with 8.5 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.8 thousand automatic weapons? Answer Round to 3 decimal places.
Just need help with part 2 and 3 please and thank you!
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Can someone please answer this and tell me how to create a scatter plot in MS excel
please show the work for the problems with an explanation versus just shwoing calculated data.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.8 8.2 6.8 3.5 2.8 2.8 2.3 0.5 y 13.9 10.8 10.1 7.2 6.5 6.5 6.3 4.8 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.81x + 4.35. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.8 thousand automatic weapons? Answer = Answer = Round to 3 decimal places.
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