You are the owner of Fast Break, a popular local place that sells drinks, snacks, and sandwiches. For inventory management purposes, you are examining howthe weather affects the amount of hot chocolate sold in a day. You are going to gather a random sample of 7 days showing that day's high temperature (denotedby x, in °C) and the amount of hot chocolate sold that day (denoted by y, in liters). You will also note the product x.y of the temperature and amount of hotchocolate sold for each day. (These products are written in the row labeled "xy").(a) Click on "Take Sample" to see the results for your random sample.Take Samplen: 0x: 0y: 0Σχν: ΠHigh temperature, x(in °C)ComputeAmount of hotchocolate sold, y(in liters)xy1114154279243237Slope (b₁):161Sample correlation coefficient (7):3y-intercept (bo):185461166Send data to calculatorBased on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. Whenyou are done, select "Compute". (In the table below, is the sample size and the symbol Σ xy means the sum of the values xy.)3241812128 216S (b) Write the equation of the least-squares regression line for your data. Then on the scatter plot for your data, graph this regression equation by plottingtwo points and then drawing the line through them. Round each coordinate to three decimal places.Regression equation: y = 0Amount of hot chocolate sold(in liters)24-22-20+18.12-10+86+4+2.15 18 21 24 27 30 33High temperature(in °C)X(c) Use your regression equation to predict the amount of hot chocolate sold on a day with a high temperature of 14 °C. Round your answer to the nearestwhole number.Predicted amount of hot chocolate sold: litersX

Given information: The data is given. Find: Fit simple linear regression model. Formula: The…

Answered: You are the owner of Fast Break, a…

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

Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
please answer correctly:
Suppose the correlation between height and weight for adults is +0.40.What proportion (or percent) of the variability in weight can be explained by the relationship with height?
On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
ANSWER THE LAST 2 QUESTIONS PLEASE
Indicate the dependent and independent variables, the number of levels for each independent variable, and whether each variable is within-subjects or between subjects 1. Individuals with anorexia and individuals with bulimia take a cognitive distortions test upon entering a treatment program for eating disorders and again three weeks later.
The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spends money on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's total monthly sales (in millions of dollars). x = money spent on television advertising (in 1000's of dollars) X2 = money spent on promotion (i.e., free samples) x3 = money spent on newspaper advertising (in 1000's of dollars) X = average discounts offered to retail outlets (in %) Using data from the previous 26 months, the company decides to collect data on 3 of the independent variables to use in a multiple regression model for estimating monthly sales. If the R´ for this model is 0.5, fill in the missing entries in the ANOVA table associated with this model. Do all calculations to at least three decimal places. Source of variation Degrees of freedom Sums of Mean F statistic squares squares Regression Error Total 4+
A negative correlation means that decreases in the X variable tend to be accompanied by decreases in the Y variable. T or F
3. In the following example, a cohort of six individuals was followed for 100 days after an outbreak of a viral infection in a hospital ward. The graph below shows how many days each subject remained in the study as a non-case (not infected). Those who completed the study as non-cases reached 100 days - the rest fell ill and did become cases. Since we know person-time is used to determine the amount of time at risk, calculate the total time contributed by all six subjects in this study. Note for submission: please make sure to include your units and interpretation in your Worksheet so you have it for review for the midterm, even if Blackboard doesn't allow for this information to be included in your submitted answer! Calculating Person-days F 64 E 100 D. 100 37 55 12 20 40 60 80 100 Days

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS