Question

In: Statistics and Probability

(Y and x) linear regression example with a made up numbers. Please provide a chart and...

(Y and x) linear regression example with a made up numbers. Please provide a chart and made up Question and numbers. I provided my question below. . Please help with the rest. Say you’re planning to save $60,000 dollars to buy a new pool. based off the salary 0f $6,000 month and your Bills on estimate of $3,250 mouth how many years will it take to save enough to buy the pool. First item on your checklist? Budget! It’s a monthly savings — approximately $2,500, so a total of 12 months a year. The follow-up question: How many months should I allocate for the pool? This is a very important question. You enough money to enjoy your day to day life style. How much money should you allocate for the pool? You approach this problem with a science-oriented mindset, thinking that there must be a way to estimate the amount of money needed, based on the bills. First, you look at some data. You've been laboriously tracking your house hold bills for the last year — because who doesn’t! — so somewhere in your computer there's this spreadsheet. I need a made up spreadsheet with hypothetical numbers. Thank you

Solutions

Expert Solution

Here is the sample spreadsheet of the last years' house hold bills. We will take the decision on the basis of this spreadsheet. The bills are divided into different types and the monthly spend is shown.

Last Year Bills January February March April May June July August September October November December
Electricity 998 960 988 1027 1096 1060 1001 923 945 1052 1011 1088
Food 889 830 824 845 829 826 867 896 809 879 856 888
Gas 444 409 457 414 500 473 425 416 424 478 428 400
Water 219 240 229 235 229 252 257 203 210 201 241 243
Council Tax 194 158 190 125 108 182 109 124 152 187 127 125
Home Insurance 51 78 69 54 83 62 83 51 85 74 58 57
Telephone 82 88 112 94 106 109 110 117 104 119 109 100
Credit Card Bill 222 237 294 212 294 280 229 224 299 202 280 199
Others 151 0 137 394 105 6 219 546 572 8 190 0
Total 3250 3000 3300 3400 3350 3250 3300 3500 3600 3200 3300 3100

Related Solutions

So, as we look at Linear Regression and correlation this week, please find provide an example...
So, as we look at Linear Regression and correlation this week, please find provide an example of how and when linear regression is used.
Describe the each scatterplot's usefulness in terms. (x and y has simple linear regression relationship.) (Y~X)...
Describe the each scatterplot's usefulness in terms. (x and y has simple linear regression relationship.) (Y~X) 1. scatter plot of x and y 2. scatter plot of x and residuals 3. scatter plot of order of the x and residuals 4. scatter plot of yhat and residuals
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y,...
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y, are not necessarily independent. Would you please give the example specifically and why?
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y,...
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y, are not necessarily independent. Would you please give the example specifically and why?
Let's set up a regression problem by generating x and y variables. x is the explanatory...
Let's set up a regression problem by generating x and y variables. x is the explanatory variable and y is the response variable. ```{r} set.seed(8) x <- rnorm(100, 5, 10) y <- x*4.3 + 5 + rnorm(100, 0, 40) ``` What is the theoretical slope of the population? What is the theoretical intercept of the population? What is the slope that is inferred from creating a regression model for the randomly generated sample? What is the intercept that is inferred...
1- The regression of X on Y is not the same as the regression of Y...
1- The regression of X on Y is not the same as the regression of Y on X. Why is this? Select one: a. Because the regression minimises the residuals of y, not the residuals of x. b. Because unlike correlation, regression assumes X causes Y. c. Because one goes through (mean x, mean y) whereas the other goes through (mean y, mean x). d. Because the F test divides MSy by MSx, not the other way round. 2- Using...
Please  provide your summary on Linear Regression preferably with some code sample in R.
Please  provide your summary on Linear Regression preferably with some code sample in R.
9) Use the following data to estimate a linear regression equation between y and x. Interpret...
9) Use the following data to estimate a linear regression equation between y and x. Interpret the estimated slope coefficient. Predict y for an x value of 9. Calculate and interpret the model’s R-squared. x y 21 12 17 10 11 8 3 5 13 15
Given The following results from LINEAR REGRESSION Analysis for the variables X and Y Slope= 12.7...
Given The following results from LINEAR REGRESSION Analysis for the variables X and Y Slope= 12.7 y-intercept =3.2 n=10 SE=4.3 The equation of the regression line is …… and 95% confidence interval for the slope is…. (A)Y=3.2+12.7X, and (3.675,12.768) (B)Y=12.7+3.2X, and (2.784,12.745) (C)Y=3.2+12.7X, and (2.784,22.616)
Please provide an example and then discuss how regression analysis may be used as a forecasting...
Please provide an example and then discuss how regression analysis may be used as a forecasting tool. Thank you.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT