Pendulum: A student experimenting with a pendulum counted the numberof full swings the pendulum made in 230 seconds for various lengths ofstring. Her data are shown below.Length (in) (x-axis)Number of Swings (y-axis) 22a) Explain why a linear model is not appropriate for using the length of apendulum to predict the number of Swings in 20 seconds.6.5 9 11.5 14.5 18 21 24 27 30 35.3720 17 16 14 13 13 12 11 10b) Re-express the data to straighten the scatterplot.c) Create an appropriate model.d) Estimate the number of swings for a pendulum with a 4-inch string.e) Estimate the number of swings for a pendulum with a 48-inch string.f) How many confidences do you place in these predictions? Why?Please use RStudio to solve. It appears that someone solved this problem using another software. Iwas able to follow them until I got to B, then I started to have different number and scatterplot.Also please show R Code for all sections.

Generally, the scatter plot is a particular type of plot having a Cartesian coordinates diagram.…

Pendulum: A student experimenting with a pendulum counted the number of full swings the pendulum made in 230 seconds for various lengths of string. Her data are shown below. Length (in) (x-axis) Number of Swings (y-axis) 22 20 17 16 14 13 13 12 11 10 a) Explain why a linear model is not appropriate for using the length of a pendulum to predict the number of Swings in 20 seconds. 6.5 9 11.5 14.5 18 21 24 27 30 35.37 b) Re-express the data to straighten the scatterplot.

Pendulum: A student experimenting with a pendulum counted the number of full swings the pendulum made in 230 seconds for various lengths of string. Her data are shown below. Length (in) (x-axis) Number of Swings (y-axis) 22 20 17 16 14 13 13 12 11 10 a) Explain why a linear model is not appropriate for using the length of a pendulum to predict the number of Swings in 20 seconds. 6.5 9 11.5 14.5 18 21 24 27 30 35.37 b) Re-express the data to straighten the scatterplot.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

I need help with this problem
Graph A The equation of the line of best fit is y = 1.15x + 4.42. 24 22 20 18 16 14 12 10 8. 4. 2 4. 6. 8 10 12 14 16 Question 10 Devise a scenario that could be modelled using the data. Don't use a scenario that has already been provided in the textbook in the lesson.
Data were gathered and displayed on the scatter plot. 15 y 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Which of the following is the best equation to model the data? ŷ = 11.5(0.81)* Oŷ = 8.1(0.115)* Oŷ= -0.115x+8.1 Oŷ=-0.81x+11.5
Use table and picture to solve!!! Thank you so much
KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
Construct a scatter plot of the data in the table AND create a linear model. 2 10 12 10 14 14 16 18 18 24 a EGO (99- 2.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.8 8.4 7.2 3.6 2.7 2.7 2.2 0.7 yy 13.8 11.5 10 7.2 6.4 6.1 6.2 4.4 xx = thousands of automatic weaponsyy = murders per 100,000 residents This data can be modeled by the equation y=0.84x+4.06.y=0.84x+4.06. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 4.9 thousand automatic weapons?Answer = Round to 3 decimal places.
Hi! I need help finding the answers in the yellow boxes please :) Thank you so so much!!
find a linear equation in slope intercept form that best models the following graphY=_x+_ Round your answer to two decimal places
Give the equation of the regression line: -913.2969+0.4808years(y) a) Plug an actual x value into the equation and discuss the difference between the real y and the predicted yb) Discuss the domain of your datac) Include the scatterplot with line of best fit
(please solve within 15 minutes I will give thumbs up)
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.1 7.1 3.9 2.9 2.6 2.1 0.7 13.7 10.7 10.2 7 6.5 6.5 5.7 4.7 thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the linear equation 0.83x + 4.08 a. How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 2.5 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents