Study of woodchucks Body Heart Weight (grams) Weight (grams) 4050 10.1 2435 14.2 3135 10.3 5740 10.5 2555 13.8 3665 14.6 2035 10.8 4260 11.5 2990 13.2 4935 15.8 3690 15.6 2880 13.5 2760 15.4 2160 11.1 2360 14.4 2040 13.4 2055 14.8 2650 15.1 2665 10.5 A statistics consulting center at a major university analyzed data on normal woodchucks for the university's veterinary school. The variables of interest were body weight in grams and heart weight in grams. It was desired to develop a linear regression equation in order to determine if there is a significant linear relationship between heart weight and total body weight. Use this information to answer the questions. Click the icon to view the table of woodchuck body weights and heart weights. Use heart weight as the independent variable and body weight as the dependent variable and fit a simple linear regression using the given data. y= 3973+ (-66.1)x (Round the constant to the nearest integer as needed. Round the coefficient to one decimal place as needed.) Test the hypothesis Ho: B₁ = 0 versus H₁: B₁ #0. Is the test one-tailed or two-tailed? two-tailed one-tailed Determine the test statistic. t= (Round to two decimal places as needed.)

After finding the range for the age variable, you worry that perhaps this value is being influenced by extreme scores! So, you decide to find the interquartile range. After all, you know the IQR has some benefits.  This time, you go to SPSS and select Analyze > Descriptives > Frequencies. You put the age variable in the "variables" box and then click Statistics. Make sure Quartiles, Mean, Median, Mode, Range, Standard Deviation, and Variance are checked (because it never hurts to get lots of information :). You click continue, then ok.Using the Percentiles that are reported in the output (these are equivalent to Q1, Q2, and Q3), you are able to determine that the interquartile range for the "age" variable is: Group of answer choices 35 20 22 23.29 24 4

What are the different statistical procedures and could you explain them?

Describe about the selecting and interpreting level of significance.

4

Explain the differences between independent samples and dependent samples as it applies to statistical testing of data.

How does the student compare to typically achieving peers?” Write the narrative in a way that a parent could understand and use statistical language.