**Investigating the Relationship Between Temperature and Ice Cream Sales**We are interested in determining if the temperature affects ice cream sales. The following data from 10 days is provided:| Temperature | Sales ||-------------|-------|| 58 | 215 || 53 | 185 || 59 | 332 || 65 | 406 || 72 | 522 || 67 | 412 || 77 | 614 || 74 | 544 || 65 | 421 || 73 | 445 |**Analysis Questions:**a. **Identify Variables:** - Which one is the independent variable and which one is the dependent variable?b. **Calculate the Slope (b₁):** - Find \( b_1 \).c. **Calculate the Intercept (b₀):** - Find \( b_0 \).d. **Total Sum of Squares (SST):** - Find SST.e. **Regression Sum of Squares (SSR):** - Find SSR.f. **Error Sum of Squares (SSE):** - Find SSE.g. **Coefficient of Determination:** - Find the coefficient of determination.h. **Correlation Coefficient:** - Find the correlation coefficient.i. **Variance of Residuals (s²):** - Find \( s^2 \).j. **Test Statistic for Slope (b₁):** - Find the test statistic for testing if \( b_1 \) is significant or not.k. **Conclusion Based on Test Statistic:** - What conclusion would you make based on the test statistic found above (use a 0.05 confidence level)?l. **95% Confidence Interval for Slope (b₁):** - Find the 95% confidence interval for \( b_1 \).m. **Expected Sales at 80 Degrees:** - Assuming the temperature is 80, how much would you expect ice cream sales to be?n. **90% Confidence Interval for Expected Sales at 80 Degrees:** - Assuming the temperature is 80, what is the 90% confidence interval for the expected ice cream sales?o. **90% Prediction Interval for Expected Sales at 80 Degrees:** -

Name: **Investigating the Relationship Between Temperature and Ice Cream Sa
Uploaded: 2024-03-20T07:06:16.000Z
Channel: Bartleby
Description: **Investigating the Relationship Between Temperature and Ice Cream Sales**We are interested in determining if the temperature affects ice cream sales. The following data from 10 days is provided:| Temperature | Sales ||-------------|-------|| 58

Hey, since there are multiple subparts posted, we will answer first seven question. If you want any…

Math

Statistics

We are interested in determining if the temperature affects ice cream sales. The following data from 10 days is provided Sales Temperature 58 53 59 65 215 185 332 406 72 522 67 77 412 614 74 544 65 421 445 73 a. Which one is the independent variable and which one is the dependent variable? b. Find b,. c. Find bo-

We are interested in determining if the temperature affects ice cream sales. The following data from 10 days is provided Sales Temperature 58 53 59 65 215 185 332 406 72 522 67 77 412 614 74 544 65 421 445 73 a. Which one is the independent variable and which one is the dependent variable? b. Find b,. c. Find bo-

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

the data set shows the high school student grade . it have their mid and final test results. we wish to determine if there is a relationship between the two. 1 77 65 2 83 90 3 79 67 4 88 85 5 76 62 6 66 80 7 76 74 8 95 93 9 65 59 10 91 86 11 80 52 12 87 82 13 86 54 14 62 71 15 92 86 16 76 88 17 68 82 18 92 95 19 80 77 20 59 72 21 68 84 22 71 75 23 62 73 24 67 55 25 76 94 26 72 79 27 99 89 28 57 52 29 81 78 30 72 83 31 76 69 32 94 98 33 71 94 34 71 81 35 71 83 36 95 96 37 73 60 38 88 85 39 94 97 40 84 88 41 59 71 42 67 92 43 97 85 44 84 87 45 87 99 46 92 98 47 77 91 48 84 93 49 92 79 50 75 81 51 95 99 52 80 73 53 62 79 54 70 76 55 87 91 56 88 95 what is the equiation for the linear regression model? Final grade= ___ + ___ * Mid term grade (round to three decimal places) If cammy scores 73 on the midterm, her predicted final exam grade would be _______
Data sets A and B are dependent. Find d. A 24 22 41 37 25 utic B 22 18 19 29 16 O A. -5.1 O B. 9.0 O C. 25.2 O D. 33.1 estic no Bu no par
Find correlation coefficient If xi 0 11 21 23 14 25 yi 5 43 45 47 51 54
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1) is the number of hours spent studying, and the second independent variable (x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 0 2 17 1 2 20 3 2 25 5 4 26 5 4 26 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. AnswerHow to enter your answer (opens in new window) Copy Data Keypad Keyboard Shortcuts
The table shows the number of hours 9 students spent studying for a test and their scores on that test. What would be the predictable score when a student studied for 4.5 hours? Hours spent studying, x 0 2 4 5 5 5 6 7 8 Test scores, y 40 51 64 69 73 75 93 90 95 A. 67 B. 68 C. 69 D. 71
An analyst wanted to analyze the relationship between the speed of a car (x) measured in mph and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below. Speed 25 35 45 50 60 65 70 Gas Mileage 40 39 37 33 30 27 25 What is the dependent variable? What is the independent variable?
Marks secured by elevan students in two subjects are given below : Subject I Subject II : 69 64 65 63 65 62 65 64 66 59 62 Find the coefficient of correlation. : 71 68 66 67 70 71 70 73 72 65 66
Solve.
The Grade 10 Life Orientation teacher has planned a trip for learners of Valley Vista High School to the local university campus to receive some career guidance. Consider the following: The transport cost per learner is R136 for a 50-seater bus from the school to the university campus, and back to school again. All 50 learners paid for the trip 3.2.1 Name the dependent variable. 3.2.2 Determine the values of A and B 3.2.3 What type of relationship is represented in the table? 3.2.4 Is the data used discrete or continuous?
Determine whether the given value is a static or parameter. A sample of employees is selected and it is found that 25% own a television.