Quarter 1 23 466 106 140 8273 119 165 912020 85 130 205 100Table shows UK sales of a particular model of car over three years (figures in 100,000 units)a)Use the technique of moving averages to find values for the trend component (T).b)Plot the original data and your trend values on a scatter diagram.20182019

Given the data of sales of a particular model of a car over three years in UK…

Answered: Quarter 12 2018 66 106 140 82 2019 73…

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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Ten students were chosen at random from our class and the grade and attendance is listed below. Attendance is the percent that work was turned in on time and the grade is the grade in the class except the final. Attendance Grade 94 100 49 60 87 80 100 95 52 40 75 66 100 95 65 61 89 70 98 93 The trend line is Y=0.918 x+1.7355____________________ and R2 is _0.8237____________ If a student plugs the value 80 in the trendline for x, write a sentence explaining the 80 and what the answer means.
What correlation best describes the data association shown in the scatterplot? no correlation? a perfect correlation? a positive correlation? or a a negative correlation?
y 6 4 2 0 0 2 4 6 8 x Tell whether the data have a positive correlation, a negative correlation, or approximately no correlation.
Using the scatter plot of the registered nurse salary data shown, what type of correlation, if any do you think the data have? Explain. Registered Nurses 70 O A. There appears to be a strong positive linear correlation. As the years of experience of the registered nurses increase, salaries tend to decrease. 65 60 O B. There appears to be a strong positive linear correlation. As the years of experience of the registered nurses increase, salaries tend to increase. 55 50 OC. There appears to be a strong negative linear correlation. As the years of experience of the registered nurses increase, salaries tend to decrease. 45 40 O D. There does not appear to be any linear correlation. 2 46 8 10 12 14 16 18 20 22 24 Years of experience O Time Remaining: MacBook Air 80 esc F9 F10 F1 F2 F3 F4 F5 F6 F7 F8 23 $ & 1 7 Annual salary (in thousands) * CO
The following graph plots data for tax per gallon and internal miles.Carefully explain what the graph is about, and what it captures. What are the limitations of the correlation and what can a researcher do toovercome these?
The data listed below represents the number of customers entering a food store by the number of hours the store was opened on a particular day. Hours Opened Customers 0 0 2 1 4 3 6 5 8 2 10 11 12 15 Create the corresponding line graph to represent this data below.
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
T stat please An annual championship event is the most widely watched sporting event in a country each year. In recent years, there has been a great deal of interest in the ads that appear during the game. These ads vary in length with most lasting 30 seconds or 60 seconds. The accompanying data represent the ad length and ad scores from a recent championship. Complete parts (a) through (c). 30-Second Ads 60-Second Ads 48 27 40 39 47 65 59 58 60 53 40 23 36 53 54 24 39 38 47 61 a. Assuming that the population variances from the 30-second ads and the 60-second ads are equal, is there evidence of a difference in the mean score between the two types of ads? Use α=0.02. Let μ1 be the mean score for the 30-second ads and μ2 be the mean score for the 60-second ads. Determine the hypotheses. Choose the correct answer below. A. H0: μ1≥μ2 H1: μ1<μ2 B.…
This table shows the minutes students spent studying for their science exam and the scores they received. Study time (min) 19 12 34 10 17 42 60 15 9 21 30 50 Exam score 82 78 90 78 85 97 100 85 73 90 91 98 Use a graphing calculator to model the data using a linear function. What is the correlation coefficient of the data? −0.74 −0.48 0.93 0.98
Give typed full explanation
Pizza and the Subway The “pizza connection” is the principle that the price of a slice of pizza in New York City is always about the same as the subway fare. Use the data listed below to determine whether there is a significant linear correlation between the cost of a slice of pizza and the subway fare.
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? A. 40- 20- 2000 5000 2795 3225 3470 32 34 28 Weight (lb) B. 40- 20+ 2000 D 5000 Weight (lb) 4085 4155 2225 25 23 38 C. ● 20+ 2000 ● ● ● ● 5000 Weight (lb) Is there a linear relationship between weight and highway mileage? A. No, there appears to be no relationship. B. Yes, as the weight increases the highway mileage decreases. C. No, there appears to be a relationship, but it is not linear. D. Yes, as the weight increases the highway mileage increases. 40- 20- 2000 3440 29 5000 Weight (lb)

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