A researcher plans to conduct an analysis of covariance. To check underlying assumptions ahead of the ANCOVA, the researcher generates the following SPSS output. Graph 5A Table The matrix scatter 5A  indicates the assumption of is . 5B The 5B SPSS output shows the assumption of is .  P = Graph 5C The histogram in 5C demonstrates the assumption of is because the graph appears relatively mounded and symmetric. Table 5D        The SPSS output 5D is used to check the assumption of .  P = , this assumption satisfied. Table 5E    The SPSS output Table 5E is used to check the assumption of .  P = , this assumption satisfied.    

SPSS was used to construct a multiple regression model for a data set with two independent variables (x1 and x2) and with dependent variable y. Use the partial SPSS output given below to complete this problem.              Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the multiple regression model. Then, use it to compute the expected value of y when x1=25 and x2=40.

A study is conducted to determine if having a peer or alumnus mentor has an impact on the academic achievement of nursing students during their first semester. Incoming nursing students are recruited and randomly assigned to one of three groups. Students in Group A (control) are not given a mentor, students in Group B are assigned a second-year nursing student as a peer mentor, and students in Group C are assigned a recent graduate as an alumnus mentor. At the end of the first semester in the nursing program, the grade point average (GPA) of each student is recorded. The researcher wants to account for differences in the natural academic abilities of the students, so the ACT score of each participant is also recorded. SPSS is used to create dummy variables for the groups. SPSS was then used to construct a regression model with dependent variable y= first-semester GPA and with independent variables x1= ACT score, x2= peer mentor and x3=alum mentor. Note that the dummy variable x2 is equal to 1 for students assigned a peer mentor and 0 otherwise; whereas, the dummy variable x3 is equal to 1 for students assigned an alum mentor and 0 otherwise. Use the SPSS output provided below to complete this problem.     Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the regression model.

SPSS was used to construct a multiple regression model for a data set with two independent variables (x1 and x2) and with dependent variable y. Use the partial SPSS output given below to complete this problem.              Complete each of the tasks below. Clearly label your response to each part. Make sure you respond completely to each part. Write the equation of the multiple regression model. Then, use it to compute the expected value of y when x1=25 and x2=40.

A researcher plans to conduct an analysis of covariance. The researcher generates the following matrix scatter using the data he collected.    What underlying assumption for the ANCOVA can be checked with this matrix scatter? Is this assumption valid in this case?  

A valid repeated measures ANOVA (rANOVA) was conducted to study the relative effectiveness of four vitamin supplements in boosting memory in adults over the age of 70. Fifteen such adults were selected and assigned to use each of the four vitamin supplements for a fixed period of time. At the end of each period, each participant was given a memory test. SPSS was used to conduct a repeated measures ANOVA to analyze the memory test scores, and a portion of the SPSS output is provided in the following tables. Refer to the tables as needed to complete this problem. Table 4A     Table 4B     Table 4C     Do the following: Discuss the result of Mauchly’s Test of Sphericity and the implication for the repeated measures ANOVA. P =   Condition of sphericity satisfied Use test State the null and alternative hypotheses for the repeated measures ANOVA test, make a decision about the null hypothesis, and write a conclusion statement. : The means are equal for groups.   : The means are different for groups. State the result of the repeated measures ANOVA test. P = the null hypothesis Is post hoc analysis appropriate?

Refer to Table 2. Determine whether or not it is appropriate to consider the main effects in this study. The P-value for the test for the interaction effect is P = . the null hypothesis. There an interaction. the main effects.

Refer to Table 1. Determine whether or not it is appropriate to consider the main effects in this study. The P-value for the test for the interaction effect is P = . the null hypothesis. There an interaction. the main effects.

Leydig cells contain__________receptors and produce the hormone ____________.

Based on the following diagram, match the name of the corresponding anatomical structure to each letter (1 pt each).