### Regression Analysis#### Task:Determine the trendline based on the following regression model data.#### Data Table:| x | y ||----|----|| 1 | 1 || 2 | 6 || 3 | 10 || 4 | 13 || 5 | 15 || 6 | 16 |#### Instructions:1. Analyze the given data points to identify the type of regression model that fits the data. This may include linear regression, polynomial regression, etc.2. Use statistical methods to determine the trendline equation based on the chosen regression model.**Note:** The student can enter a maximum of 3000 characters as part of their response.![Attach Files](Use%20the%20paperclip%20button%20below%20to%20attach%20files.)

Given that By using excel regression

Answered: What regression model does this data…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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NISH Boom Cardsl - Play boom.combg.com/play/1Dwb@fgH9jdMjFmxn/?Lenchcrld AYANWBBrodXKJA its X + 000000000000000000000 13 boomcardsk Use the following regression equation to predict the height of an 8-year-old American girl. Round all answers to the nearest hundredth (2 places after the decimal) and type it in the space below. y = 2.59x + 29.31 An average 8-year-old American girl is approximately 5 centimeters tall. W y tip Type here 90 C Submit X Give up Skip Q Overview ★ Save Card O P Dec 3 1
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.
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The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54
Make a scatter plot of the data and determine which type of model best fits the data. linear quadratic exponential cubic
The graph plots the gas mileage of various cars from the same model year versus the weight of these cars in thousands of pounds. Describe the association between the two variables. Also explain what the point at the very top represents. 3.75 Weight (thousands of pounds) BIUA A LE xx, E 12pt Paragraph Subm
Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min Temperature (°F) 913 1086 969 1081 1249 1138 1153 850 78.9 82.2 79.6 86.3 92 90.8 88 68.1 C The regression equation is y = + (x. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.)
Find an example of regression that lead to an important discovery. Be sure to give proper attribution or credit to the source. Discuss how and why it lead to a discovery in at least 6 sentences.

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What regression model does this data fit? Determine the trendline based on this model. X y Use the paperclip button below to attach files. DELL 1 2 1 56 3 10 4 13 15 16 Student can enter max 3000 characters 609 56