Forecast production of autos, including the seasonal component, for the second quarter of 2022. Round to the nearest car. Do NOT include any commas or spaces.
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- Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?bThe average rate of change of the linear function f(x)=3x+5 between any two points is ________.The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
- The following equation summarizes the trend portion of quarterly sales of condominiums over a long cycle. Sales also exhibit seasonal variations. Using the information given, prepare a forecast of sales for each quarter of next year (not this year), and the first quarter of the year following that. Ft = 30 – 5.5t + 2.5t2 Where Ft = Unit Sales t = 0 at, the first quarter of this year Quarter Relative 1 1.1 2 1.0 3 0.7 4 1.2The trendline is given for enrollment at a local college, with data from 1992-2011, where x is the year and y is the enrollment. Y= 178.09x -353194 Should we use this model to predict enrollment in 2025?The following scatter plot represents population growth at a new school starting in 2021. (Graph is attached).Using the trendline, predict the population for the school in 2030.
- The percentage of mothers who smoke cigarettes during pregnancy has declined approximately linearly from13.1% in 1997 to 12.3% in 2004 Predict the percentage in 2015.The median home value in Mississippi and Maryland (adjusted for inflation) are shown below: If we assume that the house values are changing linearly,a) In which state have home values increased at a higher rate? b) If these trends were to continue, what would be the median home value in Mississippi in 2010?$Week (X) Demand (Y) 1 2000 2 2200 3 1890 4 2248 5 1902 6 2300 7 2304 8 1903 9 1899 10 2180 11 1893 12 1201 13 1000 how do I insert a linear trendline and be sure to display the equation and R value in excel?
- hudson Marine has been an authorized dealer for c&d marine radios for the past sevenyears. the following table reports the number of radios sold each year.Year 1 2 3 4 5 6 7Number Sold 35 50 75 90 105 110 130a. construct a time series plot. does a linear trend appear to be present?b. Using Minitab or excel, develop a linear trend equation for this time series.c. Use the linear trend equation developed in part (b) to develop a forecast for annualsales in year 8.The picture shows that the estimation of the model with quarterly car sales in the U.S. from 1975 to 1990. Based on the parameter estimates, what is the predicted effect of a 10% increase in price on the number of cars sold? What would be the effect of that price increase on the value of car sales?Consider the following regression equation representing the linear relationship between the Canada Child Benefit provided for a married couple with 3 children under the age of 6, based on their annual family net income: ŷ =121.09−0.57246xR2=0.894 where y = annual Canada Child Benefit paid (in $100s) x = net annual family income (in $1000s) Source: Canada Revenue Agency a. As the net annual family income increases, does the Canada Child Benefit paid increase or decrease? Based on this, is the correlation between the two variables positive or negative?The Canada Child Benefit paid .The correlation between the two variables is .b. Calculate the correlation coefficient and determine if the relationship between the two variables is strong, moderate or weak.r= , the relationship is . Round to 3 decimal places c. Interpret the value of the slope as it relates to this relationship. For every $1 increase in annual family net income, there is a $0.57246 decrease in…
