For a set of time series data, the following measures of forecast accuracy were found using the naive method as the forecast for the next period. MAE = 4.00 MSE = 18.00 MAPE 27.81% = For the same time series data, the following measures of forecast accuracy were found using the average of all the historical data as the forecast for the next period. MAE = 2.56 MSE = 7.80 MAPE 18.33% Which method, the naive method or using the average of all the historical data, appears to provide the more accurate forecasts for the historical data? Explain. O Using the naive method appears to provide more accurate forecasts, because MAE, MSE, and MAPE using that method are all lower than MAE, MSE, and MAPE using the average of all the historical data. O Using the average of all the historical data appears to provide more accurate forecasts, because MAE, MSE, and MAPE using that method are all lower than MAE, MSE, and MAPE using the naive method. O Using the average of all the historical data appears to provide more accurate forecasts, because MAE, MSE, and MAPE using that method are all higher than MAE, MSE, and MAPE using the naive method. O Using the naive method appears to provide more accurate forecasts, because MAE, MSE, and MAPE using that method are all higher than MAE, MSE, and MAPE using the average of all the historical data. Type here to search #3 HE W E R L W zoom 10 8 F H J 3:36 PM 72°F ^ 5/9/2024 10

Resting Pulse: earlier this semester we determined our resting pulse.  Seventy-nine individuals participated in this data collection.  The mean heart rate for all individuals was 65.34 beats per minute.  A random sample of 30 heart rates having a mean of 64.97 beats per minute is presented here.     Build a frequency table of these data containing six (6) classes with the lower llimit of the second class at  54 beats per minute.    Build a chart appropriate for the presentation of these data.   Data:     49,      51,     53,   56,     57,    58,    60 ,     60,      62,    62,              62,           64,           64           65,           65 ,          65,           67,           68,           68,           68,  69,           70 ,          70,           72,           72,           72,           72,           75,           75  ,         78,

Read the following prompt and complete 3.a and 3.b

I'm not sure where is my mistake solving this problem.  I have revised my calculation three times already and I'm not sure if the step to solve it is wrong or if it is my rounding the problem.   Thank you for your help

The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. We conduct a simple regression of size on hhinc, now using robust standard errors.The regression output is reported in Table 2. Why are the estimated coefficients inTable 2 equal to the estimated coefficients in Table 1? Do the conclusions on thestatistical significance at 5% of the coefficient of…

your car is more crowded than you think.  table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.