The following data relates to number of Corona cases reported on monthly basis from October 2020 to July 2021 for a place X.Morth Oct Nov Dec Jan FebCasesMarch April May June July Aug Sep2620111426415210Use exponential smoothing method at a-0.4 and a 0.7 to forecast the Corona cases for October 2021. Find out for which a value givesbetter prediction.

Given Data : Month Cases October 26 November 20 December 11 January 9 February 14…

Answered: The following data relates to number of…

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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Scenario: You would like to classify buying habits among individuals in your research by gender (M/F), and community (metro, suburban, rural) in order to identify dependencies among these categories. What research analysis is appropriate here? Group of answer choices a. ANOVA b. Binary Logistic Regression c. Chi-square Contingency Table d. Non-parametric e. Regression
please solve question 10.70
Suppose you have access to a database with the variables listed below. Using the two variables BMI(the predictor) and diabetes(the outcome) Name two types of descriptive statistics you could report specifying the variables BMI and diabetes.
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What scale should we use for the regressors? Expalain the reason?
Climate change and CO2 2011 Data collected fromaround the globe show that the earth is getting warmer.The most common theory relates climate change to anincrease in atmospheric levels of carbon dioxide (CO2),a greenhouse gas. The mean annual CO2 concentration inthe atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii, away from any local contami-nants. (Available at ftp://ftp.cmdl.noaa.gov/ccg/co2/ trends/co2_annmean_mlo.tx)The mean surface air temperature is recorded as thechange in °C relative to a base period of 1951 to 1980.(Available at data.giss.nasa.gov/gistemp/graphs_v3/)Here are a scatterplot and regression for the years from1959 to 2011:Dependent variable is TempR-squared = 82.3%s = 0.0985 with 53 - 2 = 51 degrees of freedomVariable Coefficient SE(Coeff) t-Ratio P-ValueIntercept -2.98861 0.2086 -14.3 ...0.0001CO2 0.0092 0.0006 15.4 ...0.0001a) Write the equation of the regression line.b) Is there evidence of an association between CO2 leveland global…
Hi, please help with this assignment. Please show the work step by step as I am having trouble understanding how to compute them.
The following table contains data on the joint distribution of age (Age) and average hourly earnings (AHE) for 25 to 34 year-old full-time workers with an educational level that exceeds a high school diploma in 2012. Download the data from the table by clicking the download table icon. A detailed description of the variables used in the dataset is available here. Use a statistical package of your choice to answer the following questions. Compute the marginal distribution of Age. Marginal distribution of Age = 25 .0754 26 .0797 27 .0947 Age (years) 28 30 29 .0953 0983 .1105 31 .1109 (Round your response to four decimal places) Compute the mean of AHE for Age = 33; that is, compute, E(AHE |Age = 33). E(AHE |Age=33) = (Round your response to four decimal places) 32 .1134 33 1134 34 1085
Discuss on nominal data
O Macmillan Learning In 2017, the entire fleet of light-duty vehicles sold in the United States by each manufacturer must emit an average of no more than 86 milligrams per mile (mg/mi) of nitrogen oxides (NOX) and nonmethane organic gas (NMOG) over the useful life ( 150,000 miles of driving) of the vehicle. NOX + NMOG emissions over the useful life for one car model vary Normally with mean 82 mg/mi and standard deviation 5 mg/mi. A company has 25 cars of this model in its fleet. What is the probability that the average NOX + NMOG level of these cars is above 86 mg/mi? Give your answer to four decimal places. probability: MacBook Air
Interpret the coefficient estimate on Married in column 2, commenting on both magnitude and statistical significance
This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…

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