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Within the somatosensory cortex, the ____________and _____________ are given a larger representation (e.g. there are more cells that respond to being touched on that body part) than the other parts of the body.  The layout of cells in the somatosensory cortex is called _________________.

You are sitting in the park reading a book when a very small fly lands on you.  You would be more likely to detect that something had touched your skin if the fly landed on which part of your body:

The receptor labeled X in this figure is a:

The most commonly accepted explanation for why motion sickness occurs is:

The visual cliff is primarily used to study:

Bats can catch small insects in complete darkness by emitting __________ sound waves.  This ability is called _______________.

The ability to sense the movement of different body parts (for example to know that I moved my hand towards my face) is called:

Data collected for an auto repair shop includes the type of repair. Repairs were listed as mechanical, electrical, maintenance, and tire replacement. You are trying to determine if the cost of the repair depends on the type. How would you include this categorical data in a regression model? Be specific and indicate what the columns would look like in Excel. How many columns would you need?

Multiple regression analysis was used to study how an individual’s income (y in thousands of dollars) is influenced by age (x1 in years), level of education (x2 ranging from 1 to 5), and the individual’s gender (x3 where 0 = female and 1 = male). The following is a partial result of a computer program that was used on a sample of 20 individuals. ANOVA       df SS Regression 3 84 Residual 16 112 Compute the coefficient of determination for this analysis. (Round to 4 decimal places)

Assume you have noted the following prices for books and the number of pages that each book contains. Book Pages Price A 500 $7.00 B 700 7.50 C 750 9.00 D 590 6.50 E 560 7.50 F 650 7.00 G 475 5.00   Regression Statistics Multiple R 0.79194025 R Square 0.62716936 Adjusted R Square 0.55260323 Standard Error 0.80609586 Observations 7 ANOVA   df SS MS F Significance F Regression 1 5.465333 5.465333 8.41091496 0.033784497 Residual 5 3.24895271 0.64979054 Total 6 8.71428571         Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.41532767 1.97392859 0.71701057 0.50545648 -3.658817306 6.48947265 -3.6588173 6.48947265 Pages 0.00937105 0.00323122 2.90015775 0.0337845 0.001064933 0.01767718 0.00106493 0.01767718 Is this regression equation statistically significant? How do you know? Be specific and use numbers from the output above.