sessments/887628/variants/1021150/take/7/Average daily temperature (°F)9080Question 5The scatter plot below compares the number of hours of sunlight and the average dailytemperature.6050403020104Micros X680Cancú X01210Hours of sunlightOA14Micros X20Changes Sve Which statement is the most accurate based on the data shown in the scatter plot?Press to hear the question read out loud.▶ C «»0:00/0:11ASpeed: 1xThere is a negative correlation between the number of hours of sunlight and the aver-age daily temperature, but the correlation is weak.**0€There is a positive correlation between the number of hours of sunlight and the averagedaily temperature, but the correlation is weak.Snip & SketchThere is no correlation correlation between the number of hours of sunlight and the av-erage daily temperature.Snip & SketchSnip & SketchPaus

Introduction A scatter plot is a graphical representation which shows the relationship b/w 2…

Answered: Which statement is the most accurate…

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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Which equation is the best fit for the data in the table? X Y 3 12 5 27 8 48 11 O y=-.0026x^2+.33x+1.16 O y=1.94x+2.140 O y=1.732vx-1 O y=1.732x-1
Use the following to answer the question: y^=-4.2x+9.5 with R2=9%. Which best describes the correlation? Weak negative linear relationship Moderate negative linear relationship Weak positive linear relationship No linear relationship Moderate positive linear relationship
Chuck has noticed over the last several years that as he gets older, he also gets more politically conservative. What is the correlation between his age and his conservative leanings?Positive Negative Impossible to Determine ( don't hand writing solution)
Solve the problem. A olothes shop owner tries to predict the winter oolection sales by displaying the coats sales (in dollars) and the outside temperature (in degrees Fahrenheit) on the following scatterplot. He calculates that the correlation between coats sales and emperature is-0.801 Suppose the variable temperature is recorded in degrees Celsius rather than in degrees Fahrenheit. What will be the correlation? 6- :- 2- 30 40 50 60 70 Temperature (F) 20 OA -0.801 OB. -0.801 F/$ OC. 18.197 F-$ O D. -0.801 F•$ OE. 0.801
A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
When doing a correlational analysis, three possible results may occur. Define what does positive correlation, negative correlation and no relationship means.
The linear correlation between violent crime rate and percentage of the population that has a cell phone is −0.918 for years since 1995. Do you believe that increasing the percentage of the population that has a cell phone will decrease the violent crime rate? What might be a lurking variable between percentage of the population with a cell phone and violent crime rate? Question content area bottom Part 1 Will increasing the percentage of the population that has a cell phone decrease the violent crime? Part 2 What might be a lurking variable between percentage of the population with a cell phone and violent crime rate?
Create a model for the data using the 1st and 3rd points in the data set. 1909 90.490 1st point^ 1929 121.767 3 rd point ^ y= years since 1909 P=population of the United States (in millions)
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Determine if correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. Your daily calorie intake and weight. (a) Positive (b) Negative (c) No correlation

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