Reference no: EM133417942
1. What is the equation for your best-fit line for entries 1-4?
2. What is the slope for your best-fit line for entries 1-4?
3.What is the R-squared value of your best-fit line? lf an R-squared value of 0.90 or higheris considered very good. ls your data's fit considered to be "very good" or not?
Step 4: Estimate the age of the crater, "Giordano Bruno"
1.What is the derived age of the Giordano Bruno crater (in Myr)? Show your work below.
Step 5: Confirm or deny Jack Hartung's hypothesis using your analysis
Does your age estimate of the Giordano Bruno crater in Step 4 support or counterHartung's hypothesis? Write a short Claim, Evidence Reasoning (CER) statementbelow. Use evidence from your analysis to support or refute Jack Hartung'shypothesis.
Step 6: Use linear regression to analyze Moon crater data (Part 2)
1.What is the equation for your best-fit line for entries 1-6?
2.What is the slope for your best-fit line for entries 1-6?
3.Compare the slope for the two best-fit curves and compare the R-squared value of thefirst plot to that of the second plot. ls the second line a better or worse fit to a y = mx + bequation than the first one? ls it still considered a "good fit" (assuming again that anR-squared value of 0.90 or higher is considered very good)?
4.Based on the distribution of all six data points, and the best-fit lines: Has the lunar4.cratering rate changed significantly over the last 850 million years? Look at thedifference in slope of the lines for data that is only less than 150 Myr old (entries 1-4)versus the data that covers craters as far back as 850 Myr old (entries 1-6) to help youanswer this question. Provide evidence to support your claim.