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CHM341-EXAM_5-Sp25.pdf

CHM341-EXAM_4-Sp25.pdf

In chapter 12 we learned about psychological disorders. During the in-person Wednesday class, we watched a video interview of a person with schizophrenia. What was noteworthy about the person’s hands?

When studying chapter 8 on memory, the in-class participation activity completed in class

Recent research has revealed a sixth factor that has been added to the five factor model of personality. What is the sixth factor?

A chef in a restaurant that specializes in pasta dishes was having trouble with getting brands of pasta to be al dente – that is, cooked enough so as not to feel starchy or hard but still feel firm when bitten into.  She decided to conduct an experiment in which two brands of pasta, one American and one Italian, were cooked for either 4 or 8 minutes.   The uncooked pasta was added and then weighed after a given period of time by lifting the pasta from the pot via a built-in strainer.    The data (in terms of weight in grams) is here:     Four Eight American 265 310   270 320 Italian 250 300   245 305   And partial two-way ANOVA results (a = 0.05) are below:   ANOVA             Source of Variation SS df MS F P-value F crit Sample 528.125 1 528.125 24.14286 0.007966 7.708647 Columns 5253.125 1 5253.125 240.1429 0.000101 7.708647 Interaction 28.125 1 28.125 1.285714 0.320188 7.708647 Within 87.5 4 21.875                     Total 5896.875 7         According to the results, what do we determine about the cooking time?

Consider the following table, which shows revenue of the largest manufacturer of chewing gum, Wrigley Company (partially filled):                       Year     Revenue   SMA(5)   WMA(3)   EWMAλ=0.1{“version”:”1.1″,”math”:”λ=0.1″}   1984     591   #N/A       1985     620         1986     699         C   1987     781   A         1988     891       B     1989     993           If we use 1/2 for the most recent value, 1/3 for the second-most recent value, and 1/6 for the oldest value, then the value of B in the table above is:

Let the regression equation be given by yL=78-32x{“version”:”1.1″,”math”:”yL=78-32x”}, where x{“version”:”1.1″,”math”:”x”} represents the number of hours spent partying and yL{“version”:”1.1″,”math”:”yL”} represents the predicted grade on the final exam.  What is the appropriate interpretation of the slope in this scenario?

We develop a regression model to predict the assessed value of houses, using the size of the houses (in square feet) and the age of the houses (in years). Below, we observe partial results of running a multiple regression: Multiple R 0.909120107           R Square 0.826499369           Adjusted R Square 0.797582598           Standard Error 2168.165527           Observations 15                         ANOVA               df SS MS F     Regression 2 268724699 134362349.5 28.58200688     Residual 12 56411301.01 4700941.751       Total 14 325136000                         Coefficients Standard Error t Stat P-value Upper 95% Lower 95.0% Intercept 163775.1236 5407.173152 30.28849253 1.05104E-12 175556.3418 151993.9054 Size 10.72518298 3.014327189 3.558068619 0.003937797 17.29283773 4.157528235 Age -284.254348 83.59835914 -3.400238365 0.005267391 -102.1091708 -466.3995252 The multiple regression equation is:

For the scatterplot shown below, what can you say about the correlation?