Question

In: Statistics and Probability

Linear regression question If the range of the x-values are from x=100 to x=150, why might...

Linear regression question If the range of the x-values are from x=100 to x=150, why might we be reluctant to
use our data to perform a hypothesis test on β0?

Solutions

Expert Solution

According to given problem;

We have only the X-values that are ranges from X=100 to X=150.and we don't have the value of dependent variable (say Y).

Now;

Therefore from provided picture we see that estimate of β depends also on dependent variable not only on explanatory variables.

Also;

from above picture we see that; the test statistic having a t-distribution .and Inn denominator of test statistic there is standard error of β which depends on dependent variables also.

Therefore from these we be reluctant to use our data to perform a hypothesis test on β0.


Related Solutions

a) In a linear regression, why do we need to be concerned with the range of...
a) In a linear regression, why do we need to be concerned with the range of the independent (X) variable? (Provide an example) b) Explain the idea that correlation doesn’t imply causation (Provide and example)
Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in...
Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in the table above. ?? 1 2 3 4 Value 1 (????) 0 3 7 10 Value 2 (????) 2 4 9 11 b) Plot the points and the linear regression curve. c) Determine the Linear Correlation Coefficient (i.e., Pearson’s r) for the dataset in the table above.
Compare the coefficients of determination (r-squared values) from the three linear regressions: simple linear regression from...
Compare the coefficients of determination (r-squared values) from the three linear regressions: simple linear regression from Module 3 Case, multivariate regression from Module 4 Case, and the second multivariate regression with the logged values from Module 4 Case. Which model had the “best fit”? Calculate the residual for the first observation from the simple linear regression model. Recall, the Residual = Observed value - Predicted value or e = y – ŷ. What happens to the overall distance between the...
Find the linear regression line for the following table of values, where x represents the number...
Find the linear regression line for the following table of values, where x represents the number of employees a manager supervises and y represents average percentage of incomplete tasks. You will need to use a calculator, spreadsheet, or statistical software. Round your final answers to two decimal places.
why does the starting capacitor has dual values 100/130 or values in a range whereas the...
why does the starting capacitor has dual values 100/130 or values in a range whereas the running capacitor has only one value?In starting capacitor which value should be consider in designing higher value or lower value?
Linear Regression When we use a least-squares line to predict y values for x values beyond...
Linear Regression When we use a least-squares line to predict y values for x values beyond the range of x values found in the data, are we extrapolating or interpolating? Are there any concerns about such predictions?
The variable x takes the values ​​from 1 to 100, with these values, create two lists,...
The variable x takes the values ​​from 1 to 100, with these values, create two lists, one where the prime numbers are stored in one, and another where the non-prime numbers are stored, indicate and print the result
4. Linear regression question: An experiment carried out to investigate the design of two variables x...
4. Linear regression question: An experiment carried out to investigate the design of two variables x and y as follows: X: 303 313 323 323 333 340 343 353 353 364 Y: .96 .83 .72 .73 .65 .60 .58 .52 .53 .46 a)Draw a scatter plot and list your observations. b) Plot ln(y) against 1/x. What does this plot suggest? c) Fit a straight line to the transformed data of part b and use that line to predict the value...
2. If the values of x in problem range from 2 to 25, should you use...
2. If the values of x in problem range from 2 to 25, should you use this model to predict the mean value of y when x = a. 3 ? b. -3 ? c. 0 ? d. 24 ? 3. Fitting a straight line to a set of data yields the following prediction line: Y = 16 - .05x a. Interpret the meaning of y intercept, b0 b. Interpret the meaning of slope, b1 c. Predict the value for...
Linear Regression Linear regression is used to predict the value of one variable from another variable....
Linear Regression Linear regression is used to predict the value of one variable from another variable. Since it is based on correlation, it cannot provide causation. In addition, the strength of the relationship between the two variables affects the ability to predict one variable from the other variable; that is, the stronger the relationship between the two variables, the better the ability to do prediction. What is one instance where you think linear regression would be useful to you in...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT