I previously asked this question and was given numeric for each answer. numeric is not an option

the options for each are:

A. Cagegorical, ordinal

B. categorical, dichotomos

C. categorical, Nominal

D. Continious

Using the SPSS dataset provided, please report the type for each variable. Each variable name and label name is given. Even if you are not familiar with these variables, you should still be able to identify what type of variables they are based on looking at the dataset. educ/Education (years completed) [Choose ] money/Income Category [Choose ] ses/Socioeconomic Status [Choose] famhx/Family History of Heart Disease [Choose] hr/resting heart rate [Choose) dbp/resting diastolic blood pressure [Choose] sbp/resting systolic blood pressure Choose race/ethnic group Choose] Width Decimals Columns Name id educ 4 4 money famhex Type Numeric Numeric Numeric Numeric Numeric Numeric Numeric Numenic Numenc Numenc Numnic Numeric Numenc Numeric Numeric Numeric dbp sbp Label Values Missing None None Education (year... None None Income Category None None Socioeconomic... (1. Low)... None Family History ... (1, no family... None Resting Heart ... None None Resting Diastoli. None None Resting Systoli... None None Race/Ethnic Gr... (1. White)... None Sex {1, Male) None Total Cholesterol None None Low Density Li... None None high Density Li... None None Lipoprotein (a) None None Adiposity None None Body Mass Index None None Body Mass Ind. None None HDL Time 2 None None Align Right Right Right Right Right Right Right Right Right Right race 00 00 00 00 00 00 00 00 Measure Scale Scale Ordinal Ordinal Ordinal Scale Scale Scale Nominal Nominal Scale Scale Scale Scale Scale Scale Scale Scale Role Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input gender total_ch Idi Right Ipa Right Right Right Right Right Sum7 bmi bmi2 hd 2 Numenc Right Numeric Right Using the SPSS dataset provided, please report the type for each variable. Each variable name and label name is given. Even if you are not familiar with these variables, you should still be able to identify what type of variables they are based on looking at the dataset. educ/Education (years completed) [Choose ] money/Income Category [Choose ] ses/Socioeconomic Status [Choose] famhx/Family History of Heart Disease [Choose] hr/resting heart rate [Choose) dbp/resting diastolic blood pressure [Choose] sbp/resting systolic blood pressure Choose race/ethnic group Choose] Width Decimals Columns Name id educ 4 4 money famhex Type Numeric Numeric Numeric Numeric Numeric Numeric Numeric Numenic Numenc Numenc Numnic Numeric Numenc Numeric Numeric Numeric dbp sbp Label Values Missing None None Education (year... None None Income Category None None Socioeconomic... (1. Low)... None Family History ... (1, no family... None Resting Heart ... None None Resting Diastoli. None None Resting Systoli... None None Race/Ethnic Gr... (1. White)... None Sex {1, Male) None Total Cholesterol None None Low Density Li... None None high Density Li... None None Lipoprotein (a) None None Adiposity None None Body Mass Index None None Body Mass Ind. None None HDL Time 2 None None Align Right Right Right Right Right Right Right Right Right Right race 00 00 00 00 00 00 00 00 Measure Scale Scale Ordinal Ordinal Ordinal Scale Scale Scale Nominal Nominal Scale Scale Scale Scale Scale Scale Scale Scale Role Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input Input gender total_ch Idi Right Ipa Right Right Right Right Right Sum7 bmi bmi2 hd 2 Numenc Right Numeric Right